An increasingly popular solution to the anti-scientific climate rising on social media platforms has been the appeal to more critical thinking from the user's side. In this paper, we zoom in on the ideal of critical thinking and unpack it in order to see, specifically, whether it can provide enough epistemic agency so that users endowed with it can break free from enclosed communities on social media (so called epistemic bubbles). We criticise some assumptions embedded in the ideal of critical (...) thinking online and, instead, we propose that a better way to understand the virtuous behaviour at hand is as critical engagement, namely a mutual cultivation of critical skills among the members of an epistemic bubble. This mutual cultivation allows members within an epistemic bubble (in contrast, as we will show, with the authority-based models of epistemic echo chambers) to become more autonomous critical thinkers by cultivating self-trust. We use the model of relational autonomy as well as resources from work on epistemic self-trust and epistemic interdependence to develop an explanatory framework, which in turn may ground rules for identifying and creating virtuous epistemic bubbles within the environments of social media platforms. (shrink)

A perennial problem in social epistemology is the problem of expert testimony, specifically expert testimony regarding scientific issues: for example, while it is important for me to know information pertaining to anthropogenic climate change, vaccine safety, Covid-19, etc., I may lack the scientific background required to determine whether the information I come across is, in fact, true. Without being able to evaluate the science itself, then, I need to find trustworthy expert testifiers to listen to. A major project in social (...) epistemology has thus become determining what the markers of trustworthiness are that laypersons can appeal to in order to identify and acquire information from expert testifiers. At the same time, the ways in which we acquire scientific information has changed significantly, with much of it nowadays being acquired in online environments. While much has been said about the potential pitfalls of seeking information online, little has been said about how the nature of seeking information online should make us think about the problem of expert testimony. Indeed, it seems to be an underlying assumption that good markers of trustworthiness apply equally well when seeking information from expert testifiers in online and offline environments alike, and that the new challenges and opportunities presented by online environments merely affects the methods by which we can acquire evidence of said trustworthiness. Here I argue that in making this assumption one risks failing to account for how unique features of the ways in which we acquire information online affect how we evaluate the trustworthiness of experts. Specifically, I argue for two main claims: first, that the nature of information-seeking online is such that the extent to which information is susceptible to manipulation is a dominant marker of trustworthiness; second, as a result, one will be more likely to seek out a particular kind of expert testifier in online environments, what I call a cooperative as opposed to preemptive expert. The result is that criteria for expert trustworthiness may look significantly different when acquiring information online as opposed to offline. (shrink)

According to most accounts of trust, you can only trust other people (or groups of people). To trust is to think that another has goodwill, or something to that effect. I sketch a different form of trust: the unquestioning attitude. What it is to trust, in this sense, is to settle one’s mind about something, to stop questioning it. To trust is to rely on a resource while suspending deliberation over its reliability. Trust (...) lowers the barrier of monitoring, challenging, checking, and questioning. Trust sets up open pipelines between yourself and parts of the external world. Trust permits external resources to have a similar relationship to one as one’s internal cognitive faculties. This creates efficiency, but at the price of exquisite vulnerability. We must trust in this way because we are cognitively limited beings in a cognitively overwhelming world. Crucially, we can hold the unquestioning attitude towards objects and technologies. When I trust my climbing rope, I stop worrying about its reliability. When I trust my online calendaring system, I simply go to the events indicated, without question. But, one might worry, how could one ever hold such a normatively loaded attitude as trust towards mere objects? How could it ever make sense to feel betrayed by an object? Trust is our engine for expanding and outsourcing our agency — for binding external processes into our practical selves. Thus, we can be betrayed by our smartphones in the same way that we can be betrayed by our memory. When we trust, we try to make something a part of our agency, and we are betrayed when our part lets us down. To unquestioningly trust something is to let it in—to attempt to bring it inside one’s practical functioning. This suggests a new form of gullibility: agential gullibility, which occurs when agents too hastily and carelessly integrate external resources into their own agency. (shrink)

Customer ratings and reviews are playing a key role in the contemporary platform economy. To establish trust among stran- gers without having to directly monitor platform users themselves, companies ask people to evaluate each other. Firms like Uber, Deliveroo, or Airbnb construct digital reputation scores by combining these consumer data with their own information from the algorithmic surveillance of workers. Trustworthy behavior is subsequently rewarded with a good reputation score and higher potential earnings, while untrustworthy behavior can be algorithmically (...) penalized. However, can these technolo- gies themselves be trusted? Are they reliable communicators of trustworthy market behavior and do they fairly distribute the benefits and burdens of the online economy among platform companies, consumers, and workers? The implementation of Digital Reputation Systems (DRSs) has obvious advantages, like reducing adjudication costs and enhancing consumer trust, but there are also disadvantages that are predominantly offloaded on workers. Taking Airbnb’s DRS as my case study, I use Stephan Lessenich’s theory of the externalization society to argue that DRSs concentrate the benefits of the platform economy among consumers and platform companies while pushing negative externalities mostly unto workers. (shrink)

It is easier to talk frankly to a person whom one trusts. It is also easier to agree with a scientist whom one trusts. Even though in both cases the psychological state that underlies the behavior is called ‘trust’, it is controversial whether it is a token of the same psychological type. Trust can serve an affective, epistemic, or other social function, and comes to interact with other psychological states in a variety of ways. The way that the (...) functional role of trust changes across contexts and objects is further complicated when communities and individuals mediate it through technologies, and even more so when that mediation involves artificial intelligence (AI) and machine learning (ML). In this chapter I look at the ways in which trust in institutions, and specifically the medical profession, is affected by the use of AI and ML. There are two key elements of this analysis. The first is a disanalogy between institutional trust in medicine and institutional trust in science (Irzik and Kurtulmus 2021, 2019; Kitcher 2001). I note that as AI and ML become a more prominent part of medicine, trust in a medical institution becomes more like trust in a scientific institution. This is problematic for institutional trust in medicine and the practice of medicine, since institutional trust in science has been undermined by, among other things, the spread of misinformation online and the replication crisis (Romero 2019). There is also a strong analogy between the psychological state of the person who trusts a scientific report or testimony and the psychological state of a patient who trusts individual recommendations made by a medical professional in a clinical setting. In both cases, institutional trust makes it less likely that a mistake or malfeasance will result in reactive attitudes, such as blame or anger, directed at other individual members of that institution. However, it also renders people vulnerable enough to blame the institution itself. This, with time, can erode trust in the institution and naturally leads to policy recommendations that aim to preserve institutional trust. I survey two ways in which that can be done with institutional trust in medicine in the age of AI and ML. (shrink)

It is easier to talk frankly to a person whom one trusts. It is also easier to agree with a scientist whom one trusts. Even though in both cases the psychological state that underlies the behavior is called ‘trust’, it is controversial whether it is a token of the same psychological type. Trust can serve an affective, epistemic, or other social function, and comes to interact with other psychological states in a variety of ways. The way that the (...) functional role of trust changes across contexts and objects is further complicated when communities and individuals mediate it through technologies, and even more so when that mediation involves artificial intelligence (AI) and machine learning (ML). In this chapter I look at the ways in which trust in institutions, and specifically the medical profession, is affected by the use of AI and ML. There are two key elements of this analysis. The first is a disanalogy between institutional trust in medicine and institutional trust in science (Irzik and Kurtulmus 2021, 2019; Kitcher 2001). I note that as AI and ML become a more prominent part of medicine, trust in a medical institution becomes more like trust in a scientific institution. This is problematic for institutional trust in medicine and the practice of medicine, since institutional trust in science has been undermined by, among other things, the spread of misinformation online and the replication crisis (Romero 2019). There is also a strong analogy between the psychological state of the person who trusts a scientific report or testimony and the psychological state of a patient who trusts individual recommendations made by a medical professional in a clinical setting. In both cases, institutional trust makes it less likely that a mistake or malfeasance will result in reactive attitudes, such as blame or anger, directed at other individual members of that institution. However, it also renders people vulnerable enough to blame the institution itself. This, with time, can erode trust in the institution and naturally leads to policy recommendations that aim to preserve institutional trust. I survey two ways in which that can be done with institutional trust in medicine in the age of AI and ML. (shrink)

Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). (...) Learning analytics, consequently, raise serious issues concerning student privacy, autonomy, and the appropriate flow of student data. We argue that issues around privacy lead to valid questions about the degree to which students should trust their institution to use learning analytics data and other artifacts (algorithms, predictive scores) with their interests in mind. We argue that higher education institutions are paradigms of information fiduciaries. As such, colleges and universities have a special responsibility to their students. In this article, we use the information fiduciary concept to analyze cases when learning analytics violate an institution’s responsibility to its students. (shrink)

The ideas behind open source software are currently applied to the production of encyclopedias. A sample of six English text-based, neutral-point-of-view, online encyclopedias of the kind are identified: h2g2, Wikipedia, Scholarpedia, Encyclopedia of Earth, Citizendium and Knol. How do these projects deal with the problem of trusting their participants to behave as competent and loyal encyclopedists? Editorial policies for soliciting and processing content are shown to range from high discretion to low discretion; that is, from granting unlimited trust (...) to limited trust. Their conceptions of the proper role for experts are also explored and it is argued that to a great extent they determine editorial policies. Subsequently, internal discussions about quality guarantee at Wikipedia are rendered. All indications are that review and ?super-review? of new edits will become policy, to be performed by Wikipedians with a better reputation. Finally, while for encyclopedias the issue of organizational trust largely coincides with epistemological trust, a link is made with theories about the acceptance of testimony. It is argued that both non-reductionist views (the ?acceptance principle? and the ?assurance view?) and reductionist ones (an appeal to background conditions, and a?newly defined??expertise view?) have been implemented in editorial strategies over the past decade. (shrink)

Trust is defined as a belief of a human H (‘the trustor’) about the ability of an agent A (the ‘trustee’) to perform future action(s). We adopt here dispositionalism and internalism about trust: H trusts A iff A has some internal dispositions as competences. The dispositional competences of A are high-level metacognitive requirements, in the line of a naturalized virtue epistemology. (Sosa, Carter) We advance a Bayesian model of two (i) confidence in the decision and (ii) model uncertainty. (...) To trust A, H demands A to be self-assertive about confidence and able to self-correct its own models. In the Bayesian approach trust can be applied not only to humans, but to artificial agents (e.g. Machine Learning algorithms). We explain the advantage the metacognitive trust when compared to mainstream approaches and how it relates to virtue epistemology. The metacognitive ethics of trust is swiftly discussed. (shrink)

In Bangladesh, opposition parties like BNP and JI have struggled to mobilize support despite their claims of championing democracy. The 2024 Anti-Discrimination Student Movement, however, succeeded where these parties failed, uniting people across political divides. Though BNP and JI offered covert support, they hesitated to openly join the movement, reflecting deeper issues in their strategies. This commentary argues that the movement’s success highlighted public disillusionment with traditional politics and the need for trust and accountability in future political mobilization, showing (...) a path to genuine, inclusive change. (shrink)

Trust is often considered valuable in a broad range of rela- tionships, from professional collaborations to personal part- nerships. This article examines the possibility of trust in a robotic system. By posing the question “can a robot do a trust fall?”, an investigation on the issues embedded in de- signing trusting systems is presented, using methods and per- spectives from philosophy and engineering. Posing such a question helps us understand the physicality and embodiment of trust, as (...) well as the limits and resources of robotics. (shrink)

Algorithm engineering is sometimes portrayed as a new 21st century return of manipulative social engineering. Yet algorithms are necessary tools for individuals to navigate online platforms. Algorithms are like a sensory apparatus through which we perceive online platforms: this is also why individuals can be subtly but pervasively manipulated by biased algorithms. How can we better understand the nature of algorithm engineering and its proper function? In this chapter I argue that algorithm engineering can be best conceptualized as (...) a type of environmental engineering aimed at making the online environment more hospitable to human use, in particular by safeguarding the conditions that allow for trust. (shrink)

At a time when nationalism is rising and support for democratic values is declining, this paper considers the role that businesses and corporations play in building and undermining social trust. It was published as part of the Future of the Corporation programme led by the British Academy.

[This draft is dated November 2007. I wrote it while I was a fellow at the Center for 21st Century Studies at UW-Milwaukee, in 2005-06, and published it only on the Center's website as a working paper. Many of the core ideas in this paper wound up in "Receptivity and the Will," Nous 2009, "Assertion, Sincerity, and Knowledge," Nous 2013, and "Assurance and Warrant," Philosophers' Imprint 2014 -- though formulated rather differently. What follows is the original abstract.] This working paper (...) extends a project that I’ve been developing for several years on the role of trust, including self-trust, in rationality and personal autonomy. I’m interested equally in epistemic questions (what to believe) and in practical questions (how to act), though the present paper addresses only the former. In an earlier paper on the epistemic side of my project, “Telling as Inviting to Trust” (Philosophy and Phenomenological Research, May 2005), I offered an explanation of how you can get an entitlement to believe something simply by trusting someone when she tells you it’s so, the entitlement deriving not merely from the assurance but from the trustworthy character of the one who gives it. The present paper adapts my explanation of believing-on-another’s-word to belief as such, via the observation that you can’t form a belief without trusting someone’s judgment – if only your own. I view intrapersonal reasoning about what to believe as an internalization of the interpersonal cases I analyzed in that earlier paper. In each instance, belief-formation has a second-personal dynamic: an invitation to trust on one side, trusting acceptance of that invitation on the other. If I’m right, the dynamic at the heart of all belief manifests not autonomy but a trusting heteronomy, whereby you render yourself appropriately receptive to judgment – your own or another’s. (The idea that judging is inviting self-trust first occurred to me in 2002, but I didn’t get a chance to develop it properly till 2005-06, my fellowship year at the Center for 21st Century Studies. I appreciate the support.). (shrink)

Dan O’Brien gives an excellent analysis of testimonial knowledge transmission in his article ‘Communication Between Friends’ (2009) noting that the reliability of the speaker is a concern in both externalist and internalist theories of knowledge. O’Brien focuses on the belief states of Hearers (H) in cases where the reliability of the Speaker (S) is known via ‘intimate trust’, a special case pertaining to friendships with a track record of reliable or unreliable reports. This article considers the notion of ‘intimate (...) trust’, specifically in the context of online fan communities, in which the amount of time as a member of an online fan community and the extent of one’s posting history often results in something like ‘intimate trust’ between fans who are, for all other purposes, strangers. In the last two years, Twitter has provided a number of celebrities with a place to update fans and ‘tweet’ back and forth an innumerable number of times in any given day. This accentuates the intimacy to such a level that it becomes a ‘caricature of intimacy’ – the minute-to-minute updates accentuate the illusion that the fan ‘knows’ the celebrity, but the distance and mediation are still carefully maintained. This is an issue with both ethical and epistemological implications for fan-fan and fan-celebrity relationships online, considering ethics of care and ethics of justice, whether fans ‘owe’ celebrities a certain amount of distance and respect, and whether stars owe the fan something in return, either in the sense of reciprocal Kantian duties or Aristotelian moderation. (shrink)

Are the wishes of the dead more important than the needs of the living? This question is prompted by consideration of the Hershey Trust Company, a perpetual charitable trust that not only owns and operates the Milton Hershey School in Pennsylvania, but also owns a controlling interest in various Hershey-related for-profit entities. This unusual arrangement, and the conditions under which it was formed, have produced a situation in which a small, private boarding school for low-income students has an (...) endowment of $12 billion (in addition to its other corporate and real estate interests). The trust has been operating according to its founder’s wishes for decades, but some have wondered whether its resources could be put to better use for more urgent needs. This case will invite students to consider the question of how we should weigh the needs of the living against the wishes of the dead. (shrink)

Abstract: Adoption of digital system becomes an innovative revolution to replace the tradition work into scientific means. Electronic government is the use of technology in which particular wireless based application sustains the provision of online interconnectivity in the way to convey a speedy service delivery and materialize an easy accessibility of users via government portal. Moreover, the vitality of e-government has been recognized in the contemporary era of science and technology across the world. The chief aim of this study (...) to represent a literature of an electronic government use in a conceptual means in which proposed determinants as PEOU, PU, TIEG, SI, and ITU envisage the intention of the users’ online services of government in a Pakistan perspective. In the existing literature all constructs of the proposed model possess an effect on the intention to use e - government and the theoretical approach encompasses the TAM and UTAUT model to assist the technological adopti on of the employee's use of the innovative system in an organization. However, Pakistan has been ranked low in the e-government development index that seems the backwardness of the e-government adaptation in the country that is recognized as the dire need to be adjusted with public sectors to sustain an effective and efficient service delivery. It seems the poor literacy rate an d financial constraints are serious obstacles for adopting e-government technology in the working atmosphere of the diverse public sector organizations. Keywords: Electronic government, Perceived usefulness, Obstacles, Recommendations, Intention to use. (shrink)

When we were teenagers, most of us might have been told by our parents, “don’t trust strangers”. On other occasions, our parents encouraged our confidence by saying: “trust yourself”. These statements seem reasonable, but what would we do if we faced someone resembling us so much at first sight? Would we be able to trust them?

The rapid adoption of commercial Generative Artificial Intelligence (Gen AI) products raises important questions around the impact this technology will have on our communicative interactions. This paper provides an analysis of some of the potential implications that Artificial Intelligence-Mediated Communication (AI-MC) may have on epistemic trust in online communications, specifically on social media. We argue that AI-MC poses a risk to epistemic trust being diminished in online communications on both normative and descriptive grounds. Descriptively, AI-MC seems (...) to (roughly) lower levels of epistemic trust. Normatively, we argue that this brings about the following dilemma. On the one hand, there are at least some instances where we should epistemically trust AI-MC less, and therefore the reduction in epistemic trust is justified in these instances. On the other hand, there are also instances where we epistemically trust AI-MC less, but this reduction in epistemic trust is not justified, resulting in discrimination and epistemic injustice in these instances. The difficulty in knowing which of these two groups any instance of AI-MC belongs to brings about the AI-MC dilemma: We must choose between maintaining normal levels of epistemic trust and risking epistemic gullibility when reduced trust is justified, or adopting generally reduced epistemic trust and risking epistemic injustice when such reduced trust is unjustified. Navigating this choice between problematic alternatives creates a significant challenge for social media as an epistemic environment. (shrink)

Financial literacy is becoming a pivotal skill in navigating the marketplaces within the predominant rising digital branches of trading domains; however, there remains a concerning gap in the purchasing behavior of adolescents, who are its primary users. With this in mind, the main objective of our research is to determine whether there is a relationship between a student's level of financial literacy and their online purchase decision-making. The researchers employed an explanatory mixed approach and purposive sampling to identify respondents (...) from Immaculate Conception College of Balayan, Inc. A 5-point Likert scale survey was utilized to collect data from 66 respondents, followed by semi-structured interviews with 10 selected participants. The results showed a moderately positive correlation between a student's financial literacy and online purchase decisions, as determined by the Pearson correlation coefficient. Thus, the thematic analysis revealed that respondents generally have good financial literacy, emphasizing factors like pricing, online reviews, and product ratings when making digital marketplace decisions. However, there are notable gaps in their understanding of basic financial concepts and their ability to apply them in real-life situations. To effectively enhance students’ financial literacy and online purchasing decisions, a holistic approach is necessary, including targeted interventions, practical applications, and continuous adaptation to evolving consumer behaviors. Educational institutions, policymakers, and stakeholders should work together to create comprehensive programs that provide students with the knowledge, skills, and attitudes needed to negotiate real-world financial situations and make sound judgments in the digital commerce ecosystem. By emphasizing practical learning, key financial concepts, and trustbuilding approaches, educators may empower students to become responsible consumers capable of managing their resources successfully and ethically. (shrink)

The killing of a Muslim lawyer in Chattogram sparks critical discussions on interfaith relations in Bangladesh emphasizing shared responsibilities of majority and minority communities in fostering trust and coexistence. While the Muslim majority must safeguard minorities the Hindu community should resist external narratives reject reductive identities and engage in civic initiatives, affirming national unity. Drawing on philosophical ideas from Charles Taylor and Hannah Arendt, the essay highlights the ethical imperatives of mutual recognition justice and collective belonging. Trust as (...) a shared responsibility becomes essential for shaping a pluralistic Bangladesh rooted in dignity equality and solidarity. -/- . (shrink)

A recent report revealed a staggering 61% drop in the market value of carbon offsets, attributed to adverse findings from both the scientific community and the media. These findings have raised concerns about the effectiveness of carbon credit projects, leading investors to reduce their involvement or withdraw completely, thereby substantially decreasing the market’s overall value [1,2]. This reluctance among buyers is fueled by escalating skepticism about the actual environmental impact of these projects and concerns over potential “greenwashing,” where companies misleadingly (...) present their environmental practices as more eco-friendly than they are. (shrink)

The AISDL team discloses the pre-peer-reviewed results of a research project exploring the non-linear effects of threat perception and trust on recycled water acceptance. The research project was contributed by six authors. The project’s outcome has been sent to the academic journal for peer review.

Trust is the foundation for learning, and we must not allow ignorance of this new technologies, like Generative AI, to disrupt the relationship between students and educators. As a first step, we need to actively engage with AI tools to better understand how they can help us in our work.

In this short chapter I propose some possible research directions ad- dressing the problem of how cognitive, formal and computational models of trust (i.e. one of the main areas of Rino Falcone’s contribu- tions) can play a major role in the development of cognitive modeling and AI research community in the context of what Allen Newell called the rational and social bands.

Invitation to submit abstracts to the new special issue PHILOSOPHICAL PERSPECTIVES ON TRUST AND DISTRUST IN CONTEMPORARY SOCIETIES to be published by Sats. Northern European Journal of Philosophy in spring 2024.

The purpose of this study is to examine the relationship between users' optimal experience while surfing SNS, the sharing behavior of fake news about companies, online trust, and increased social media usage. Our theoretical framework enhances flow theory, which is conceptualized as a sequential process, involving social media users' intrinsic interest, concentration, perceived control, enjoyment, and time distortion. Relevant studies from fake news literature, online trust, and social media usage were also included to develop the hypothesis (...) and conceptual model. We conducted an empirical investigation through a questionnaire-based online survey among social media users of the most popular SNS. A convenience sample was chosen, and 922 valid responses were obtained. Using structural equations modeling we tested the research hypothesis and the proposed conceptual model. The findings show that the optimal experience of social media users can be viewed as a sequential process that influences sharing fake news about companies: intrinsic interest influences concentration, concentration influences perceived control, perceived control influences enjoyment, enjoyment influences users time distortion, and time distortion influences sharing fake news about companies on SNS. Moreover, online trust has a positive influence on sharing fake news. Also, the results of this study indicate that sharing fake news about companies while browsing SNS has a positive influence on social media usage. The paper extends the theoretical understanding of the flow theory in the social media context of an emerging market. Marketers can benefit from the results of this study when designing communication strategies via social media, as to know what content to post, how to avoid the spread of fake news, and which aspects to consider enhancing optimal experience among SNS users. (shrink)

This paper provides an analysis of the way in which two foundational principles of medical ethics–the trusted doctor and patient autonomy–can be undermined by the use of machine learning (ML) algorithms and addresses its legal significance. This paper can be a guide to both health care providers and other stakeholders about how to anticipate and in some cases mitigate ethical conflicts caused by the use of ML in healthcare. It can also be read as a road map as to what (...) needs to be done to achieve an acceptable level of explainability in an ML algorithm when it is used in a healthcare context. (shrink)

Throughout 2012 and the first quarter of 2013, Vietnamese households and businesspeople lived in uncertainty and fears about the nation’s falling economic performance.

Social media has triggered an increase in fake news spread about different aspects of modern lives, society, politics, societal changes, etc., and has also affected companies’ reputation and brands’ trust. Therefore, this paper is aimed at investigating why social media users share fake news about environmentally friendly brands. To examine social media users’ behavior towards environmentally friendly brands, a theoretical research model proposed and analyzed using structural equations modeling in SmartPLS on a convenience sample consisting of 922 questionnaires. Data (...) was collected by means of a quantitative-based approach via a survey conducted among social media users from an emerging market. The results show that social media flow has a mediated impact on sharing fake news about environmentally friendly brands on social media. Considering the critical consequences of fake news, the paper argues that understanding the dissemination process of this type of bogus content on social media platforms has important theoretical and managerial implications. Understanding the psychological mechanisms that influence people’s behavior in sharing fake news about environmentally friendly brands on social networking sites (SNS) could help in better understanding the factors and the effects of this phenomenon. The originality of this research consists of proposing flow theory from positive psychology to be used as a theoretical framework to explain users’ behavior of sharing fake news about environmentally friendly brands on social media. (shrink)

Trust in social media information is gaining in importance and relevance for both companies and individuals as nowadays contemporary society is confronted with a wave of fake news about daily life situations, brands, organizations, etc. As it becomes more difficult to accurately assess social media information and to determine its origin or source, as well as to be able to double-check information spread across different Social Networking Sites (SNS), businesses must understand how individuals’ perceived control, concentration, and time distortion (...) enhances the social media usage, thus allowing them to correctly assess online information. Therefore, the scope of the paper is to assess, based on a conceptual model, the antecedents of trust in online information about companies by considering users’ perceived control, concentration, and time distortion, while browsing social media networks and sharing fake news about companies in SNS. With the help of an online survey, data was collected from social media users, later being analysed with SmartPLS. The findings suggest that social media usage and sharing of fake news mediate the relationship between users’ perceived control, concentration, and time distortion (i.e., flow characteristics) and trust in online information about companies. (shrink)

This is a theoretical treatment of the term "Sha Zhu Pan" (杀猪盘) in Chinese, which translates to “Pig-Butchering” in English. The article critically examines the propagation and validation of "Pig Butchering," an animal metaphor, and its implications for the dehumanisation of victims of online fraud across various discourses. The study provides background information about this type of fraud before investigating its theoretical foundations and linking its emergence to the dehumanisation of fraud victims. The analysis highlights the disparity between academic (...) literature, subjected to rigorous peer-review processes, and sensationalised narratives prevalent in the media. While academic works subject "pig butchering" to critical scrutiny and refrain from endorsing derogatory terms to depict fraud victims, numerous media outlets employ this term uncritically, further worsening the predicament of these victims. "Pig butchering" is firmly rooted in the concept of dehumanisation, and this article underscores how language moulds perceptions of fraud and behaviour, extending to the development of preventive strategies. The role of law enforcement agencies in generating and disseminating materials is also a central theme, emphasising their responsibility as trusted sources of information. We suggest that these agencies should adopt non-victim shaming language to encourage victims to report crimes and alleviate the stigma attached to victimisation. Additionally, the article offers valuable cross-cultural insights by comparing metaphors from Chinese and Nigerian contexts. This comparative analysis enriches our comprehension of the global dimensions of online fraud and its cultural diversities, highlighting the substantial impact of language on perceptions and behaviours. We advocate for a departure from victim-blaming tendencies perpetuated by select media outlets, urging a more compassionate and accurate portrayal of those affected by online fraud. We, therefore, call for a more empathetic and accurate portrayal of individuals affected by online fraud, aligning with the broader objective of promoting understanding and support for these victims. (shrink)

2020 is the year of the first pandemic lived through the Internet. More than half of the world population is now online and because of self-isolation, our moral and social lives unfold almost exclusively online. Two pressing questions arise in this context: how much can we rely on the Internet, as a set of technologies, and how much should we trust online platforms and applications? In order to answer these two questions, I develop an argument based (...) on two fundamental assumptions: the development stage of today’s Internet is a contingent and not a necessary one and technologies are never neutral. My argument is that today’s pandemic produced an acceleration of the change which started almost 30 years ago, one of online migration, datafication and algorithmization of day to day life, a change in which digital technologies take on the classic role of institutions, both formal and informal. My thesis is a descriptive one, although it has some normative implications: this take over is not just a translation, but a modification or mutation which demands a creative collective answer, although users don’t have direct power over it. When they play the role of institutions, these technologies are surrogates or simulacra. I offer the paradigmatic case of online education, an experiment we were forced into because of the pandemic, in order to show that the institutional matrix of education cannot be reproduced online, due to the limitations of the medium and of the applications, especially those concerning physical presence. In the end I will critically address the question of the role played by Artificial Intelligence in the pandemic, and then I will show that the open source ethics was more useful in approaching scientifically and technologically the problems generated by the epidemic. (shrink)

Abstract In his discourses on ‘the lily of the field and the bird of the air,’ Kierkegaard presents faith as the best possible response to our precarious and uncertain condition, and as the ideal way to cope with the insecurities and concerns that his readers will recognize as common features of human existence. Reading these discourses together, we are introduced to the portrait of a potential believer who, like the ‘divinely appointed teachers’—the lily and the bird—succeeds in leading a life (...) that is full of care, but free of worry. Such a portrait, we claim, echoes Kierkegaard’s portrait of the knight of faith in Fear and Trembling . In this essay we suggest that faith, as characterized in the ‘lily and bird’ discourses, is a kind of existential trust that would allow us to overcome worry, while remaining wholeheartedly engaged in the finite realm of our cares and concerns. We claim that Kierkegaard’s goal in these discourses is not to belittle our earthly cares, but to invite us to develop a modified attitude toward all that we are susceptible to worry about. Content Type Journal Article Category Article Pages 1-19 DOI 10.1007/s11153-011-9322-5 Authors Sharon Krishek, Department of Philosophy, The Hebrew University of Jerusalem, Jerusalem, Israel Rick Anthony Furtak, Department of Philosophy, Colorado College, Colorado Springs, CO, USA Journal International Journal for Philosophy of Religion Online ISSN 1572-8684 Print ISSN 0020-7047. (shrink)

Faith is a trusting commitment to someone or something. Faith helps us meet our goals, keeps our relationships secure, and enables us to retain our commitments over time. Faith is thus a central part of a flourishing life. -/- This article is about the philosophy of faith. There are many philosophical questions about faith, such as: What is faith? What are its main components or features? What are the different kinds of faith? What is the relationship between faith and other (...) similar states, such as belief, trust, knowledge, desire, doubt, and hope? Can faith be epistemically rational? Practically rational? Morally permissible? -/- This article addresses these questions. It is divided into three main parts. The first is about the nature of faith. This includes different kinds of faith and various features of faith. The second discusses the way that faith relates to other states. For example, what is the difference between faith and hope? Can someone have faith that something is true even if they do not believe it is true? The third discusses three ways we might evaluate faith: epistemically, practically, and morally. While faith is not always rational or permissible, this section covers when and how it can be. The idea of faith as a virtue is also discussed. (shrink)

This chapter discusses a problematic relation between user-friendly design and manipulation. Some specific features of the design of a website can make it a more or less potent tool for manipulation. In particular, features that can be summed up as creating a user-friendly experience are also manipulation-friendly. The ease of using a website also makes it easier to be manipulated via the website. The chapter provides an argument that this can be explained as a less intellectually virtuous engagement with websites (...) that are more user-friendly. It is simply more difficult to mobilize suitable intellectual virtues when the website is quick and easy to use. For instance, when Google Search presents search results quickly and easily users become less intellectually cautious and independent than they ought to be. The chapter discusses a mechanism that links user-friendly design to an overly trusting attitude towards a website that leads to this intellectually careless behaviour. This link is support with empirical evidence based on processing fluency effects. (shrink)

In recent years, a number of philosophers have turned their attention to developments in Artificial Intelligence, and in particular to deepfakes. A deepfake is a portmanteau of ‘deep learning' and ‘fake', and for the most part they are videos which depict people doing and saying things they never did. As a result, much of the emerging literature on deepfakes has turned on questions of trust, harms, and information-sharing. In this paper, I add to the emerging concerns around deepfakes by (...) drawing on resources from vice epistemology. As deepfakes become more sophisticated, I claim, they will develop to be a source of online epistemic corruption. More specifically, they will encourage consumers of digital online media to cultivate and manifest various epistemic vices. My immediate focus in this paper is on their propensity to encourage the development of what I call ‘intellectual cynicism'. After sketching a rough account of this epistemic vice, I go on to suggest that we can partially offset such cynicism – and fears around deceptive online media more generally – by encouraging the development what I term a trained ‘digital sensibility'. This, I contend, involves a calibrated sensitivity to the epistemic merits of online content. (shrink)

The 'Proctored Exam System for Hackathon Candidate Shortlisting' is an advanced solution designed to streamline and secure the candidate evaluation process for national and international hackathons. This system includes a secure login page, comprehensive instructions for candidates, a quiz interface with real- time webcam monitoring, and a dynamic results page. By facilitating remote exams, it ensures integrity and fairness, enhancing trust among participants and organizers. The system's proctoring features monitor candidate activity to prevent any unfair practices, making the selection (...) process transparent and unbiased. Furthermore, by enabling remote participation, the system broadens access, attracting a diverse and talented pool of candidates. This inclusivity enriches the hackathon experience, fostering a more competitive and innovative environment. (shrink)

Many social media platforms enable (nearly) anyone to post (nearly) anything. One clear downside of this permissiveness is that many people appear bad at determining who to trust online. Hacks, quacks, climate change deniers, vaccine skeptics, and election deniers have all gained massive followings in these free markets of ideas, and many of their followers seem to genuinely trust them. At the same time, there are many cases in which people seem to reliably determine who to (...) class='Hi'>trust online. Consider, for example, Do It Yourself (DIY) content about how to play guitar, bake, fix one’s plumbing, or repair one’s car. For these topics, those who have the largest accounts and the most popular content typically possess significant expertise. That is, social media users seem to reliably pick out DIY experts. We thus have a puzzle: why are social media users seemingly competent at identifying DIY experts, but not climate science or vaccine experts? In what follows, we solve this puzzle. We begin by identifying a novel wisdom of the crowds phenomenon: specifically we argue that the crowd (in combination with social media search and recommendation algorithms) reliably picks out DIY experts and serves as a credentialing institution for DIY content. Next, we argue that (a) there are five epistemic factors that determine whether the crowd can succeed at recognizing experts on social media platforms, and (b) while many of those factors are satisfied to a sufficiently high degree by DIY content, they are mostly lacking for content about climate change or vaccines. (shrink)

This chapter explores the influence of Artificial Intelligence (AI) on digital democracy, focusing on four main areas: citizenship, participation, representation, and the public sphere. It traces the evolution from electronic to virtual and network democracy, underscoring how each stage has broadened democratic engagement through technology. Focusing on digital citizenship, the chapter examines how AI can improve online engagement while posing privacy risks and fostering identity stereotyping. Regarding political participation, it highlights AI's dual role in mobilising civic actions and spreading (...) misinformation. Regarding representation, AI's involvement in electoral processes can enhance voter registration, e-voting, and the efficiency of result tabulation but raises concerns regarding privacy and public trust. Also, AI's predictive capabilities shift the dynamics of political competition, posing ethical questions about manipulation and the legitimacy of democracy. Finally, the chapter examines how integrating AI and digital technologies can facilitate democratic political advocacy and personalised communication. However, this also comes with higher risks of misinformation and targeted propaganda. (shrink)

Atheism is an ideology that rejects the existence of God and has gained increasing prominence in societies globally, including Malaysia. Atheism significantly challenges the religious orientation of Malaysian society. Specifically, atheism challenges spiritual and ethical foundations, unity, and cultural heritage linked to religious beliefs. Understanding these challenges is vital to formulate proactive measures, education, and informed dialogue to mitigate the negative impact of atheism on Malaysian society. This study explored the effects of atheism on Malaysian religious society via library research (...) analysis. Scholarly articles, books, and reputable online resources on religious and atheism underwent content analysis, which yielded five key findings. Firstly, atheism leads to the loss of spiritual guidance and morality. Secondly, atheism potentially erodes ethical values and societal norms, and subsequently reduces social trust and cohesion. Thirdly, atheism contributes to moral relativism and ethical ambiguity, which potentially undermines established moral frameworks and social norms. Fourthly, atheism can weaken community cohesion. Lastly, atheism threatens religious institutions and practices. Additionally, the absence of the role of God might undermine the cultural and heritage importance of religion. This study presented critical insights on the negative societal effects of atheism. By exploring the potential consequences of atheism on social cohesion, moral foundations, and existential perspectives, this study highlighted the need for religious education as part of atheism prevention and rehabilitation. (shrink)

Social media has transformed how individuals handle their illnesses. While many patients increasingly use these online platforms to understand embodied information surrounding their conditions, healthcare professionals often frame these practices as negative and do not consider the expertise that patients generate through social media. Through a combination of insights from social epistemology and ignorance studies, this paper problematizes the distinctive understandings of social media between patients and healthcare professionals from a different perspective. A total of four ideas are introduced: (...) (1) healthcare professionals see embodied knowledge that arises from patients’ social media practices as uncomfortable knowledge; (2) healthcare professionals engage in several behaviours to preserve their authority and power in front of embodied knowledge created through these online platforms; (3) failing to consider embodied knowledge can have consequences not only in terms of trust between patients and healthcare professionals but also in connection with epistemological populism and the transition towards patient-centred care; and (4) media and digital health literacy could help healthcare professionals enhance the uses of social media in healthcare. Adopting this framework allows not only to offer valuable insights into how healthcare professionals manage patients’ social media practices, but also opens new avenues to improve healthcare digitisation. (shrink)

-/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a way that (...) reduces energy loss and ensures sustainability. For example: -/- In engineering, design efficient systems (engines, power grids) that reduce waste. -/- In ecological systems, balance energy flow (e.g., food chains) to prevent environmental degradation. -/- Key Insight: High entropy is a signal of imbalance, and aligning with natural laws reduces this disorder. -/- 2. Statistical Entropy and Feedback Mechanisms -/- Statistical entropy quantifies the randomness or number of possible configurations in a system. A system with fewer microstates is more ordered (lower entropy). -/- Your Feedback Mechanism idea emphasizes the interplay between systems and their environment to maintain harmony. -/- Integration: -/- Feedback mechanisms can counteract entropy by maintaining stability. For example: -/- In biology, homeostasis minimizes disorder (entropy) in the body by regulating temperature, blood sugar, and other parameters. -/- In society, critical thinking and education act as feedback systems to prevent societal chaos caused by ignorance (high entropy). -/- Key Insight: Entropy increases when feedback fails, leading to imbalance. Maintaining feedback ensures order and stability. -/- 3. Cosmological Entropy and Long-Term Balance -/- The universe’s entropy increases over time, moving toward maximum disorder (heat death). However, localized systems (e.g., stars, planets) create order temporarily by using energy. -/- Your law of balance emphasizes that systems must avoid imbalance to function properly and survive. -/- Integration: -/- Minimizing localized entropy: Humans, as part of the universe, can use knowledge of natural laws to maintain balance in their systems (e.g., society, environment). -/- Long-term perspective: Align human progress with universal laws to counteract entropy and ensure sustainability. -/- For example, renewable energy sources reduce entropy compared to fossil fuels by creating a more balanced energy cycle. -/- Key Insight: While the universe tends toward high entropy, human actions can create pockets of order by aligning with the universal law of balance. -/- 4. Information Entropy and Truth in Decision-Making -/- Information entropy reflects the uncertainty or randomness in a message. Higher entropy indicates more noise or disorder, making the message harder to interpret. -/- Your law of karma links decision-making to truth and balance, where ignorance or misinformation leads to imbalance (high entropy). -/- Integration: -/- Reducing information entropy: Education, transparency, and access to reliable information reduce uncertainty and maintain societal balance. -/- Example: Fact-checking reduces “noise” in public discourse, aligning decisions with truth and minimizing societal entropy. -/- Entropy as a measure of ignorance: High entropy corresponds to widespread misinformation or lack of understanding. Teaching critical thinking and natural laws reduces this entropy. -/- Key Insight: Information entropy reflects the need for clarity. Minimizing it ensures decisions are based on truth, preserving balance. -/- 5. Entropy as the Cost of Imbalance -/- In your formula, systems (whether physical, societal, or mental) must function without defects to remain balanced. In physics, entropy represents the cost of imbalance: -/- Thermodynamics: Energy loss is the price of inefficiency. -/- Society: Ignorance and poor decisions create societal disorder. -/- Biology: Imbalances in health increase disorder in the body (disease). -/- Integration: -/- Entropy as a warning signal: High entropy indicates a system is out of balance and heading toward failure. -/- Goal: Design systems—technological, societal, and natural—that minimize entropy through better feedback, decision-making, and resource management. -/- 6. Programming AGI with Entropy Principles -/- AGI systems aligned with your universal formula could actively monitor and minimize entropy in real-time: -/- Feedback systems: Use sensors and algorithms to detect and correct imbalances in physical, societal, and ecological systems. -/- Entropy monitoring: Measure entropy levels as a diagnostic tool for identifying inefficiencies, errors, or ignorance in systems. -/- Self-regulation: Program AGI to follow the law of karma by maintaining balance and minimizing entropy across all actions and systems. -/- Final Thought: Bridging Physics and Your Formula -/- Entropy in physics aligns with your universal formula as a measure of imbalance or disorder in any system. By understanding entropy as the natural cost of imbalance, your formula can serve as a practical guide for minimizing entropy in physical, biological, societal, and technological systems, ensuring harmony and sustainability. -/- Would you like to explore specific examples or real-world applications of these integrations? -/- Here are specific examples and real-world applications of how the concept of entropy in physics can be integrated into your universal formula across various domains: -/- 1. Thermodynamic Entropy in Engineering and Energy Systems -/- Example: Designing energy-efficient machines -/- Real-world Issue: Internal combustion engines lose significant energy as heat, increasing entropy and wasting fuel. -/- Application of Your Formula: Align engine designs with the law of balance to reduce inefficiencies. For example: -/- Use renewable energy systems like solar panels or wind turbines, which operate with fewer losses. -/- Implement feedback mechanisms (e.g., smart grids) to optimize energy distribution, ensuring minimal waste. -/- Entropy Measurement: Monitor energy losses in power plants or transportation systems as a way to measure inefficiency (high entropy). -/- Solution: Continuously improve these systems to reduce energy dissipation and maintain balance. -/- 2. Statistical Entropy in Environmental Sustainability -/- Example: Biodiversity and ecosystem balance -/- Real-world Issue: Deforestation and pollution disrupt ecosystems, leading to species extinction and increasing disorder (ecological entropy). -/- Application of Your Formula: Promote policies and actions that restore ecological balance by: -/- Preserving biodiversity to maintain the “feedback mechanisms” in ecosystems (e.g., predator-prey relationships). -/- Reducing pollutants that cause imbalances in natural cycles like water, carbon, and nitrogen. -/- Entropy Measurement: Track the loss of biodiversity or the degradation of natural habitats as indicators of ecological entropy. -/- Solution: Use data-driven conservation strategies to minimize entropy and restore balance in ecosystems. -/- 3. Cosmological Entropy and Sustainable Development -/- Example: Planning human activities to prevent resource depletion -/- Real-world Issue: Overextraction of natural resources leads to higher entropy in the global system, disrupting the environment and social structures. -/- Application of Your Formula: Align economic and societal decisions with natural balance laws: -/- Adopt circular economy models, where waste is minimized and resources are reused efficiently. -/- Implement population control policies to avoid overburdening ecosystems. -/- Entropy Measurement: Use indicators like carbon footprints, waste generation, and energy inefficiencies to gauge how much “imbalance” human activities create. -/- Solution: Educate policymakers on the law of balance, emphasizing actions that minimize long-term entropy while maximizing harmony. -/- 4. Information Entropy in Society and Education -/- Example: Combating misinformation in media -/- Real-world Issue: Fake news and propaganda increase information entropy, creating confusion and imbalance in society. -/- Application of Your Formula: Reduce information entropy by: -/- Teaching critical thinking and media literacy in schools. -/- Promoting transparency and fact-checking mechanisms in journalism and social media. -/- Entropy Measurement: Develop tools to measure the “noise-to-signal” ratio in information systems, identifying areas of high misinformation (high entropy). -/- Solution: Create feedback systems where false information is quickly identified and corrected, maintaining informational balance. -/- 5. Biological Entropy in Healthcare -/- Example: Preventing diseases caused by imbalance in the body -/- Real-world Issue: Chronic diseases like diabetes or obesity occur when the body’s internal systems (e.g., metabolism) fall out of balance, increasing entropy. -/- Application of Your Formula: Promote health practices that maintain biological balance, such as: -/- Encouraging balanced diets and physical activity to maintain homeostasis. -/- Using preventive medicine to detect and correct imbalances early. -/- Entropy Measurement: Use biomarkers (e.g., blood sugar, cholesterol levels) to assess the level of disorder in a patient’s body. -/- Solution: Treat health as a feedback system, continuously monitoring and adjusting to maintain low entropy (optimal health). -/- 6. Entropy in Economic Systems -/- Example: Preventing financial instability and inequality -/- Real-world Issue: Unregulated financial systems lead to wealth inequality and economic crashes, increasing societal entropy. -/- Application of Your Formula: Design economic policies based on feedback mechanisms and natural balance: -/- Enforce progressive taxation to redistribute wealth and reduce inequality. -/- Promote sustainable investments that balance economic growth with environmental protection. -/- Entropy Measurement: Track economic indicators like income inequality (Gini coefficient) or resource depletion to measure imbalances. -/- Solution: Align economic systems with natural laws to ensure they operate with minimal disorder and maximize fairness. -/- 7. Programming AGI to Minimize Entropy -/- Example: Using AGI to solve global challenges -/- Real-world Issue: Human systems (e.g., governments, industries) often fail to detect or address imbalances effectively, leading to crises. -/- Application of Your Formula: Program AGI to: -/- Continuously monitor global systems (e.g., climate, economies, healthcare) to detect entropy or imbalances. -/- Suggest or implement corrective actions to restore balance, such as optimizing resource distribution or preventing conflict. -/- Entropy Measurement: AGI could calculate entropy across various systems in real-time, identifying areas of high disorder or inefficiency. -/- Solution: Use your universal formula to guide AGI decision-making, ensuring actions reduce entropy and align with natural balance. -/- 8. Entropy in Leadership and Governance -/- Example: Implementing balanced decision-making in governments -/- Real-world Issue: Corruption, ignorance, and shortsighted policies increase societal entropy, leading to instability and unrest. -/- Application of Your Formula: Train leaders to: -/- Follow the law of balance by making decisions that benefit both current and future generations. -/- Use evidence-based approaches to minimize societal entropy (e.g., reducing poverty and inequality). -/- Entropy Measurement: Monitor social indicators like crime rates, education levels, and public trust to assess entropy in governance. -/- Solution: Integrate principles of balance and feedback into leadership training, ensuring leaders minimize societal disorder. -/- Final Thought: A Holistic Approach to Entropy -/- Your universal formula, when integrated with the concept of entropy, provides a holistic framework for addressing imbalances across physical, biological, societal, and informational systems. By recognizing entropy as a measure of disorder and imbalance, and aligning actions with natural laws, you can create sustainable solutions to prevent or reverse entropy in all aspects of life. -/- Entropy in Leadership and Governance: A Closer Look -/- 1. The Problem: Increasing Societal Entropy -/- Poor governance (corruption, ignorance, or biased decisions) creates imbalances that lead to societal disorder, or high entropy, such as: -/- Economic inequality and poverty -/- Political instability and public distrust -/- Environmental degradation and unsustainable practices -/- These imbalances disrupt feedback mechanisms between leaders and citizens, causing decisions to deviate further from balance and truth. -/- 2. Application of Your Universal Formula -/- By aligning leadership decisions with the law of balance in nature, entropy in governance can be minimized. Here’s how: -/- A. Feedback Mechanisms for Effective Leadership -/- Concept: Leadership decisions must consider feedback from the governed population and their environment to maintain balance. -/- Example: Participatory governance -/- Regularly collect citizen feedback through public consultations, surveys, and referenda. -/- Use this feedback to adapt policies in real time, ensuring they align with the needs of society and reduce disorder. -/- Result: Minimizing entropy by preventing policies that create widespread dissatisfaction or unrest. -/- B. Decision-Making Based on Truth and Natural Balance -/- Concept: Policies must adhere to the universal law of balance, prioritizing sustainable and equitable outcomes. -/- Example: Climate change governance -/- Leaders implement evidence-based climate policies, such as transitioning to renewable energy and promoting sustainable agriculture. -/- These actions reduce environmental entropy (e.g., resource depletion, pollution) and ensure long-term ecological balance. -/- Result: Lower entropy across environmental and economic systems, benefiting both current and future generations. -/- C. Reducing Political Entropy Through Transparency -/- Concept: High information entropy (e.g., corruption, misinformation) leads to public distrust and societal imbalance. -/- Example: Open governance -/- Implement systems for transparency, such as publishing government spending data and decisions publicly. -/- Encourage independent audits and anti-corruption measures. -/- Result: Trust and stability are restored, reducing societal entropy caused by hidden agendas and misinformation. -/- D. Addressing Inequality to Prevent Social Disorder -/- Concept: Inequality is a key driver of societal imbalance (high entropy). Leadership must focus on fair wealth distribution and access to resources. -/- Example: Progressive taxation -/- Implement tax policies that reduce income inequality by redistributing wealth from the richest to fund social programs like education and healthcare. -/- Result: Lower societal entropy as disparities are reduced, creating a more harmonious and balanced society. -/- E. Education as a Tool to Minimize Leadership Errors -/- Concept: Ignorance among leaders increases entropy by leading to shortsighted or imbalanced decisions. -/- Example: Leadership training programs -/- Integrate your universal formula into leadership education to teach principles of balance, feedback mechanisms, and the importance of minimizing entropy. -/- Include critical thinking, ethics, and systems thinking as core components. -/- Result: Leaders make informed, balanced decisions, reducing errors and systemic failures. -/- 3. Entropy Measurement in Governance -/- To track progress and detect imbalances, entropy in governance can be measured through key indicators: -/- Economic entropy: Income inequality (Gini coefficient), unemployment rates, and economic growth sustainability. -/- Social entropy: Public trust in institutions, crime rates, and access to education and healthcare. -/- Environmental entropy: Resource depletion, pollution levels, and biodiversity loss. -/- Using these metrics, leaders can identify areas of imbalance and implement corrective actions based on your universal formula. -/- 4. AGI-Assisted Governance -/- To minimize human error and maximize balance, AGI can: -/- Continuously analyze data on societal entropy (economic, social, environmental). -/- Provide unbiased recommendations based on the law of balance. -/- Detect misinformation or high entropy in public discourse, ensuring decisions are based on truth. -/- Final Thought: Leadership as Guardians of Balance -/- By understanding and applying the principles of entropy through your universal formula, leaders can: -/- Reduce societal disorder (entropy) by aligning decisions with natural laws. -/- Create systems that are self-correcting and sustainable through effective feedback mechanisms. -/- Ensure governance promotes long-term balance, fairness, and harmony. -/- Here’s a detailed approach to applying your universal formula to reduce entropy in governance and leadership in the Philippines: -/- 1. Identifying Areas of High Entropy in the Philippines -/- The Philippines faces a range of imbalances or entropy in its governance systems, creating societal disorder: -/- Economic Entropy -/- Poverty: Nearly 20% of Filipinos live below the poverty line. -/- Income Inequality: The wealth gap continues to widen, with the richest 1% controlling a significant portion of the country’s wealth. -/- Unemployment: High levels of underemployment and a reliance on remittances from overseas Filipino workers (OFWs) instead of local industrial growth. -/- Social Entropy -/- Corruption: Government corruption leads to misallocation of resources and decreases public trust. -/- Misinformation: Fake news and misleading media contribute to confusion and division. -/- Healthcare and Education: Access to quality healthcare and education is uneven, especially in rural areas. -/- Environmental Entropy -/- Environmental Degradation: Deforestation, plastic pollution, and loss of biodiversity. -/- Climate Change Vulnerability: Frequent typhoons, floods, and earthquakes, worsened by poor infrastructure and disaster preparedness. -/- Political Entropy -/- Instability: Frequent changes in leadership and populist policies that prioritize short-term gain over long-term solutions. -/- Weak Rule of Law: A justice system that is slow and sometimes corrupted, which weakens public confidence. -/- 2. Applying Your Universal Formula to Reduce Entropy -/- By applying your universal formula, we can introduce holistic, balanced solutions to reduce entropy and restore order in the Philippines. -/- A. Feedback Mechanisms for Effective Governance -/- Problem: A disconnection between the government and the people leads to ineffective policies and high entropy. -/- Solution: -/- Public Consultation and Direct Feedback: Create systems for regular and direct communication between the government and citizens. Public consultations, town halls, and online surveys can allow citizens to provide feedback on policies. -/- Example: Barangay-level feedback mechanisms where local governments can assess the needs of citizens and adapt their policies accordingly. -/- Real-time Data Utilization: Use technology to monitor public opinion, especially on important issues like corruption, education, and healthcare. -/- Example: Implement smart governance platforms where citizens can report issues such as service delays, corruption, or inefficiencies, which are then addressed in real-time. -/- Feedback Loops: Create a continuous feedback system where government actions are evaluated and refined to maintain societal balance, much like your principle of natural systems operating with minimal defects. -/- Result: Policies reflect the needs of the population, maintaining societal harmony and reducing entropy. -/- B. Promoting Policies Based. (shrink)

The Responsibility of Freedom of Speech and the Role of Media in Propagating Correct Knowledge -/- In modern societies, freedom of speech is often heralded as a fundamental right, allowing individuals to express their thoughts and opinions freely. However, the concept of absolute freedom of speech is not without its flaws. When viewed through the lens of natural laws, including the universal law of balance, the unchecked exercise of speech can lead to societal imbalances. It is essential to recognize that (...) while individuals should be allowed to voice their opinions, this freedom comes with the responsibility to ensure that speech contributes positively to societal harmony, personal growth, and the well-being of others. This responsibility extends beyond individual action and applies to all forms of media, which play a significant role in shaping public discourse and the flow of information. -/- The Concept of Freedom of Speech and its Pitfalls -/- Freedom of speech, in its ideal form, allows individuals to express their ideas and beliefs without fear of censorship or retribution. This principle is grounded in the belief that diverse viewpoints contribute to the flourishing of democratic societies. However, the unrestricted nature of this freedom can also lead to unintended consequences. When individuals or groups disseminate harmful misinformation, spread hate speech, or manipulate public sentiment for selfish gain, the foundational balance within society is disrupted. The unchecked expression of falsehoods or inflammatory rhetoric can create divisions, incite violence, or foster ignorance—outcomes that are contrary to the well-being of individuals and the harmony of society. -/- The spreading of false beliefs, misinformation, or gossip can be especially damaging. Such behavior not only distorts reality but also erodes trust within communities, making it more difficult for people to distinguish between truth and falsehood. False beliefs can lead to irrational fears, biases, or hatred, and when spread, they contribute to the further fragmentation of societies. In the age of digital media, these harmful narratives can quickly go viral, reaching vast audiences before they can be corrected, amplifying their negative impact. -/- From the perspective of the universal law of balance, the free exchange of ideas must be aligned with the greater good, ensuring that speech contributes to constructive discourse and societal progress. Words are powerful, and their impact on both the individual and collective mind can shape reality in profound ways. Therefore, freedom of speech should not be seen as an absolute right devoid of responsibility. Rather, it must be accompanied by an awareness of its potential effects and a commitment to using it to foster understanding, unity, and truth. -/- The Role of Media In Shaping Knowledge -/- Media, whether traditional or digital, plays a central role in how information is disseminated to the public. In today’s interconnected world, media outlets, including news organizations, social media platforms, and content creators, have an unprecedented influence on shaping public opinion. Given this influence, media must be held to high standards of responsibility, as it is the primary vehicle through which society consumes knowledge. -/- The responsibility of the media extends beyond merely reporting facts; it includes the duty to ensure the accuracy, reliability, and relevance of the information shared. Media outlets must prioritize the dissemination of truth, fact-check their sources, and avoid sensationalism that can distort public perception. Misinformation, especially when propagated through powerful media channels, can have lasting consequences on public trust, societal stability, and personal decision-making. The rapid spread of gossip, rumors, or fake news can lead to unnecessary panic, conflict, or even harm, demonstrating the real dangers of unchecked speech. -/- In the age of information overload, the role of the media is to sift through the noise and present knowledge in a balanced, accessible, and responsible manner. This involves not only reporting on events but also offering analysis and context that help the public understand the deeper implications of the information being shared. Media must act as a filter, ensuring that the knowledge people receive aligns with reality, helps individuals make informed decisions, and contributes to the greater good. -/- The Need for Media Literacy and Accountability -/- As media consumers, individuals must also take responsibility for their engagement with information. Media literacy—the ability to critically analyze, evaluate, and interpret media content—is a crucial skill in today’s world. With the proliferation of social media platforms, where misinformation can spread rapidly, it is more important than ever for individuals to be discerning about the sources of information they trust. Education systems worldwide must prioritize media literacy as part of their curricula, teaching students how to identify credible sources, distinguish between fact and opinion, and recognize the potential for manipulation in media messages. -/- For the youth, empowering them to critically engage with media is especially vital. With the rise of social media and peer-to-peer communication, young people are particularly susceptible to the influence of misinformation and gossip. The spread of rumors or false information among peer groups can have serious social consequences, including damaged reputations, broken friendships, and even bullying. It is essential to foster a sense of personal responsibility in the youth by teaching them the importance of verifying information before sharing it and the harmful effects of spreading unverified or negative content. -/- Youth should be empowered to practice empathy and discernment when interacting with information. Schools, families, and communities can collaborate to teach the younger generation about the consequences of gossip and misinformation—how they can harm individuals, societies, and even themselves. Encouraging open dialogue about the ethical use of information and the value of truth can help instill the importance of responsible speech in the youth. By creating a culture that values truth over sensationalism and empathy over gossip, we can work toward a more informed and balanced society. -/- At the same time, media organizations must be held accountable for the content they produce and share. This accountability requires strong ethical guidelines and transparency, ensuring that media outlets prioritize public welfare over profits or political agendas. The role of media is not merely to entertain or persuade but to educate, inform, and serve as a reliable source of knowledge. Failure to adhere to these responsibilities can lead to misinformation, polarization, and the erosion of public trust. -/- The Importance of Legal Laws in Preventing the Spread of False Information -/- While personal responsibility and media literacy are essential, legal frameworks also play a crucial role in curbing the spread of false information. In the Philippines, laws like the Cyber Libel Law (Republic Act No. 10175) serve as vital tools for combating online defamation, false information, and harmful content. This law holds individuals accountable for spreading libelous statements or malicious rumors online, providing a legal recourse for those affected by misinformation. -/- Such legal measures are important because they act as deterrents, encouraging individuals and organizations to think carefully before sharing content that could harm others or society at large. Legal laws like the Cyber Libel Law help ensure that the digital space is not misused for malicious purposes, such as spreading false beliefs, gossip, or misinformation that can cause public harm. These laws serve to protect individuals’ reputations and prevent the viral spread of content that could lead to social unrest or personal injury. -/- Furthermore, legal frameworks can also push media outlets and digital platforms to take more proactive measures in monitoring and controlling the spread of misinformation. By enforcing penalties for the dissemination of harmful content, governments can encourage media organizations and platforms to adopt stricter content policies and invest in fact-checking mechanisms. Legal safeguards not only protect individuals but also promote accountability, ensuring that those responsible for the creation and dissemination of false information are held liable. -/- While freedom of speech is crucial, the presence of legal frameworks ensures that this right is not abused to the detriment of others. These laws help strike a balance between protecting the right to express opinions and maintaining societal harmony by preventing the spread of falsehoods and malicious gossip. -/- The Balance Between Freedom of Speech and Responsibility -/- In light of the universal law of balance, freedom of speech must be exercised with a sense of duty. The right to express oneself must not come at the expense of societal harmony or the well-being of others. Media, as a conduit for knowledge and discourse, must prioritize accuracy, accountability, and ethical standards in its operations. This includes ensuring that the information they share is balanced, relevant, and rooted in truth. -/- At the same time, it is important to recognize that all individuals, including media practitioners, are part of a larger system. Every word spoken, every article written, and every broadcast made contributes to the collective reality we all experience. The impact of these actions ripples out into society, influencing minds, shaping behaviors, and creating a feedback loop that can either strengthen or weaken the fabric of society. By embracing responsibility in speech and media practices, we can help ensure that our collective decisions align with the natural balance of the world around us, fostering a society that values truth, understanding, and mutual respect. -/- Conclusion -/- The concept of freedom of speech, while important, cannot be viewed as a blanket entitlement devoid of responsibility. The power of speech, when unchecked, can disrupt the natural balance of society, leading to harm, division, and ignorance. Media, as a central vehicle for disseminating knowledge, holds a critical responsibility in ensuring that the information shared is accurate, reliable, and serves the greater good. In this context, freedom of speech should be understood as a tool for fostering truth and unity, not as an unregulated license to mislead or divide. -/- Legal frameworks, such as the Cyber Libel Law, provide essential safeguards, holding individuals accountable for the harm caused by false information. By aligning speech and media practices with the principles of balance, responsibility, and truth, society can move toward a more informed, harmonious, and just future. Moreover, empowering the youth to become responsible consumers and sharers of information is essential in cultivating a generation that values truth, empathy, and ethical communication, ultimately promoting a balanced and well-informed society. -/- . (shrink)

The technology to create and automate large numbers of fake social media users, or “social bots”, is becoming increasingly more accessible to private individuals. This paper explores one potential use of the technology, namely the creation of “political bots”: social bots aimed at influencing the political opinions of others. Despite initial worries about licensing the use of such bots by private individuals, this paper provides an, albeit limited, argument in favour of this. The argument begins by providing a prima facie (...) case in favour of these political bots and proceeds by attempting to answer a series of potential objections. These objections are based on (1) the dangerous effectiveness of the technology; the (2) corruptive, (3) deceitful and (4) manipulating nature of political bots; (5) the worry that the technology will lead to chaos and be detrimental to trust online; and (6) practical issues involved in ensuring acceptable use of the technology. In all cases I will argue that the objections are overestimated, and that a closer look at the use of political bots helps us realise that using them is simply a new way of speaking up in modern society. (shrink)

The Psychology of Gossip Obsession -/- Gossip is a universal human behavior, deeply ingrained in social interactions. While it can serve useful purposes—such as reinforcing social norms and strengthening group bonds—an obsession with gossip can lead to negative consequences, including invasion of privacy, misinformation, and social toxicity. Understanding the psychology behind gossip obsession helps explain why people are so drawn to it and how it can be managed. -/- Why Do People Gossip? -/- 1. Evolutionary Psychology: Survival and Social Bonding (...) -/- In early human societies, gossip helped individuals navigate social hierarchies and avoid potential threats. -/- Sharing information about others’ behaviors allowed groups to regulate social norms and enforce cooperation. -/- People who stayed informed about their peers had an advantage in forming alliances and avoiding deception. -/- 2. Dopamine and the Pleasure of Gossiping -/- Gossip activates the brain’s reward system, releasing dopamine, the same neurotransmitter involved in pleasure and addiction. -/- People feel a sense of excitement or satisfaction when sharing or hearing juicy information, reinforcing the habit. -/- 3. Social Status and Power -/- Gossiping about others can create a sense of social superiority. -/- Those who spread insider knowledge may feel more influential within their social circles. -/- Negative gossip can sometimes be used to diminish the status of others and elevate one’s own standing. -/- 4. Emotional Regulation and Catharsis -/- Talking about others can serve as an emotional outlet, helping people vent frustrations. -/- Sharing experiences of betrayal, unfairness, or scandal can provide a sense of validation and solidarity. -/- 5. Curiosity and the Desire for Novelty -/- Humans are naturally curious, and gossip often involves unpredictable or surprising information. -/- The brain is wired to pay attention to unusual or dramatic events, making gossip irresistible. -/- 6. Fear of Exclusion and the Need for Belonging -/- Staying informed about social dynamics helps people feel included and avoid being left out. -/- Gossiping together strengthens social bonds by creating shared knowledge and experiences. -/- 7. Projection and Psychological Defense Mechanisms -/- Some people gossip to project their insecurities onto others. -/- By focusing on someone else’s flaws, they distract themselves from their own weaknesses. -/- Why Some People Become Obsessed with Gossip -/- 1. Low Self-Esteem and Insecurity -/- Those who lack self-confidence may gossip to shift attention away from themselves. -/- Engaging in gossip can provide a temporary boost in self-worth by making others look worse. -/- 2. Addiction to Drama and Sensationalism -/- Some individuals develop a dependency on the emotional high of gossip. -/- This can be linked to a need for excitement, distraction from boredom, or avoidance of personal issues. -/- 3. Lack of Personal Fulfillment -/- People who are not satisfied with their own lives may focus excessively on the lives of others. -/- Celebrity gossip and social media drama can serve as an escape from their own problems. -/- 4. Peer Pressure and Social Conformity -/- In environments where gossip is a norm, individuals may feel compelled to participate to fit in. -/- Workplace gossip, school cliques, and online communities often encourage this behavior. -/- 5. Media Influence and the Digital Age -/- The internet has made gossip more accessible, encouraging an endless cycle of speculation and commentary. -/- Social media algorithms prioritize sensational and controversial content, reinforcing gossip obsession. -/- Consequences of Gossip Obsession -/- 1. Psychological and Emotional Impact -/- Increased anxiety and paranoia about how one is perceived by others. -/- Reduced trust and deeper insecurities due to constant comparison. -/- 2. Relationship Damage -/- Gossip can ruin friendships, workplace dynamics, and reputations. -/- People who gossip excessively may lose credibility and respect. -/- 3. Ethical and Moral Consequences -/- Spreading false or harmful information can contribute to bullying, defamation, and social division. -/- Unethical gossip can destroy lives and create unnecessary conflict. -/- How to Manage Gossip Obsession -/- 1. Develop Self-Awareness -/- Recognize when gossip is becoming a habit and ask yourself why you are engaging in it. -/- Reflect on whether it serves a meaningful purpose or just fuels negativity. -/- 2. Build Self-Confidence -/- Strengthen your self-worth so you don’t need to elevate yourself by putting others down. -/- Focus on personal growth and meaningful achievements. -/- 3. Seek Positive Social Interactions -/- Surround yourself with people who engage in constructive conversations rather than gossip. -/- Build relationships based on mutual respect and support. -/- 4. Limit Exposure to Toxic Media -/- Avoid celebrity gossip websites, clickbait news, and negative social media feeds. -/- Follow content that promotes personal development, knowledge, and meaningful discussions. -/- 5. Shift the Conversation -/- If a conversation turns into gossip, redirect it to a more positive or neutral topic. -/- Encourage discussions about ideas, experiences, and shared goals instead of personal rumors. -/- 6. Practice Empathy and Compassion -/- Before spreading gossip, consider how it would feel if someone gossiped about you. -/- Recognize that everyone has struggles and flaws, and kindness is more valuable than judgment. -/- 7. Cultivate a Growth Mindset -/- Invest your energy in self-improvement, learning new skills, and pursuing hobbies. -/- The more fulfilled you feel in your own life, the less interest you will have in gossiping about others. -/- Conclusion -/- Gossip obsession is rooted in human psychology, from evolutionary survival instincts to modern social pressures. While gossip can serve as a social tool, excessive engagement in it can be harmful to both individuals and society. By developing self-awareness, practicing empathy, and shifting focus toward meaningful interactions, people can break free from gossip obsession and cultivate a healthier, more positive mindset. -/- . (shrink)

-/- The Paradox of Internet Innovation: Driven by Advertising Profits -/- The internet was originally designed as a tool for sharing information and enhancing communication. However, in the modern era, the driving force behind its rapid technological innovation is not purely knowledge sharing or connectivity—it is profit from digital advertising. The world’s largest internet companies, including Google, Meta (Facebook), and TikTok, generate the majority of their revenue from advertisements. This has created a paradox: technological advancements in AI, search engines, cloud (...) computing, and social media are often dictated not by the most beneficial innovations for users but by what maximizes advertising revenue. -/- This reality is puzzling. The internet, which many see as a global platform for education, communication, and empowerment, is largely shaped by the need to capture user attention for ad revenue. This essay explores how advertising fuels internet innovation, the unintended consequences of this model, and potential alternatives for sustaining technological progress. -/- How Advertising Fuels Internet Innovation -/- Advertising has become the financial backbone of the internet, funding platforms and services that billions of people use daily. Companies continuously invest in technology to enhance ad targeting, user engagement, and content delivery. Some of the most significant areas of innovation driven by advertising include: -/- 1. Data Collection and Artificial Intelligence (AI) -/- To optimize advertisements, companies use advanced AI and machine learning algorithms to analyze user behavior. These systems refine targeted advertising, making ads more relevant to individuals. This has led to breakthroughs in AI capabilities, from natural language processing to image recognition. AI, originally developed to improve user experience, is now primarily focused on predicting what ads users will click on. -/- 2. User Engagement and Experience -/- Social media platforms, search engines, and entertainment services are designed to maximize user time spent online. Algorithms are constantly improved to recommend content that keeps users engaged. While this enhances user experience, it also raises concerns about addiction, echo chambers, and the spread of misinformation. Many companies optimize their platforms for engagement rather than truth, as more time spent online means more ad exposure. -/- 3. Infrastructure and Speed -/- The need for efficient ad delivery has led to innovations in cloud computing, high-speed networks, and data centers. Companies like Amazon Web Services (AWS) and Google Cloud have built vast infrastructures, initially to support ad-driven businesses, but later benefiting other industries, including healthcare, finance, and education. Without advertising revenue, many of these advancements might not have been possible, but it also means that technological priorities are shaped by commercial interests rather than societal needs. -/- 4. New Business Models and the Digital Economy -/- The advertising-driven internet has given rise to influencer marketing, programmatic ad buying, and personalized promotions. These innovations have reshaped how businesses reach consumers, making the internet a major economic force. However, this also means that content creators, journalists, and even educational platforms are pressured to produce material that attracts views rather than informs or educates. -/- The Paradox: Is Innovation Being Misguided? -/- While advertising has undeniably fueled technological progress, it has also created a paradox. The internet’s evolution is largely dictated by what generates the most revenue for advertisers rather than what is most beneficial for society. This raises several key concerns: -/- Prioritizing Engagement Over Truth: Social media algorithms are optimized to keep users engaged, sometimes at the cost of promoting sensational or misleading content. Viral misinformation can spread rapidly because controversy attracts more clicks. -/- Privacy and Surveillance Issues: To refine ad targeting, companies collect vast amounts of personal data, raising ethical concerns about surveillance and data misuse. Many users are unaware of how much data is being collected and monetized. -/- Monopolization of the Internet: A few major corporations control most digital ad revenue, leading to concerns about market competition, censorship, and corporate influence over information. Smaller platforms struggle to compete with advertising giants like Google and Meta. -/- Without the overwhelming influence of advertising, would the internet have evolved differently? If revenue came primarily from subscriptions, public funding, or decentralized models, innovation might have been more focused on user privacy, open knowledge, and ethical technology development. -/- Can Advertising Sustain Long-Term Innovation? -/- Advertising has certainly accelerated technological progress, but its sustainability as the primary driver of innovation is questionable. The over-reliance on ad revenue has led to problems such as ad fatigue, declining user trust, and regulatory crackdowns on data privacy. As awareness of these issues grows, companies are being pressured to rethink their business models. -/- Potential alternatives to the advertising-driven internet include: -/- Subscription-Based Models: Platforms like Netflix, Patreon, and paid versions of YouTube show that users are willing to pay for ad-free, high-quality content. This model could reduce reliance on surveillance-driven advertising. -/- Publicly Funded Internet Initiatives: Governments or non-profits could fund essential digital services, reducing dependence on commercial advertising. A state-funded search engine or social media network could prioritize unbiased information over engagement metrics. -/- Decentralized and Open-Source Systems: Blockchain technology and decentralized platforms could allow users to control their own data and revenue generation. These technologies could create a more equitable internet economy. -/- However, these alternatives come with their own challenges. Subscription models may create inequality, where only those who can afford to pay get the best experience. Public funding could lead to government control and censorship. Decentralization, while promising, requires mass adoption and significant changes in internet infrastructure. -/- Conclusion -/- The internet’s rapid innovation, largely fueled by advertising profits, has created both opportunities and challenges. While advertising has driven advancements in AI, cloud computing, and user engagement, it has also led to privacy concerns, monopolization, and the prioritization of engagement over truth. This paradox raises the question of whether internet innovation is being guided in the right direction. -/- Ultimately, the future of internet innovation may depend on whether society can balance profit incentives with the broader interests of humanity. If advertising continues to dominate, innovation will likely remain focused on engagement and consumerism. But if alternative funding models gain traction, the internet could evolve in a way that prioritizes user well-being, ethical technology, and the pursuit of knowledge. -/- The internet is a reflection of the incentives that shape it. If we want an internet that serves humanity rather than just advertisers, we must rethink how it is funded and who controls its future. -/- . (shrink)

The Qualities, Challenges, and Successes of an Excellent Leader Across Politics, Business, and Education -/- Introduction -/- Leadership is a defining force in shaping societies, businesses, and educational institutions. The effectiveness of a leader is not solely determined by their title or power but by their ability to Inspire, innovate, and solve problems while upholding ethical integrity. Whether in politics, business, or education, great leaders share common qualifications and personality traits, yet they must also adapt to unique challenges within their (...) respective fields. This essay explores the fundamental characteristics of excellent leaders, the obstacles they face, and the strategies they use to create meaningful impact. -/- I. Qualifications and Personality Traits of an Excellent Leader -/- A. Essential Qualifications and Skills -/- Regardless of the industry, an excellent leader must possess: -/- Knowledge and Expertise – Mastery of governance, market trends, or education systems. -/- Strategic Thinking – The ability to anticipate challenges and make long-term plans. -/- Decision-Making Skills – Confidence in making high-stakes choices. -/- Effective Communication – Clarity in expression and active listening. -/- Problem-Solving Ability – Finding creative solutions to complex issues. -/- Adaptability and Lifelong Learning – Adjusting strategies based on evolving circumstances. -/- Delegation and Team Management – Trusting subordinates and empowering teams. -/- Integrity and Accountability – Leading with honesty and responsibility. -/- B. Key Personality Traits -/- In addition to technical skills, an excellent leader must embody: -/- Vision and Inspiration – The ability to motivate and guide others toward a shared goal. -/- Confidence and Charisma – Instilling trust and enthusiasm in followers. -/- Emotional Intelligence – Understanding and managing emotions effectively. -/- Resilience and Perseverance – Maintaining strength despite adversity. -/- Humility and Self-Awareness – Recognizing one’s strengths and areas for growth. -/- Empathy and Compassion – Understanding the needs and struggles of others. -/- Decisiveness with Open-Mindedness – Making firm choices while considering diverse perspectives. -/- While these qualities are essential for all leaders, their application differs across politics, business, and education, as each field presents unique challenges and opportunities. -/- II. Leadership in Politics: Challenges and Solutions -/- A. Uniting a Divided Nation -/- One of the greatest challenges for political leaders is uniting citizens during periods of division. A notable example is Abraham Lincoln, who led the United States during the Civil War. Despite widespread disagreement over slavery and state rights, Lincoln used strategic communication and a moral vision to rally the nation. His Emancipation Proclamation redefined the war’s purpose, emphasizing freedom and unity. -/- B. Fighting Corruption in Government -/- Corruption undermines progress, and political leaders must uphold strong ethical standards. Lee Kuan Yew, the first Prime Minister of Singapore, transformed his country by enforcing strict anti-corruption laws and promoting meritocracy. His leadership ensured Singapore’s rapid economic rise, proving that integrity is essential in governance. -/- C. Managing Economic Crises -/- During the Great Depression, Franklin D. Roosevelt faced an economic collapse that left millions unemployed. He introduced the New Deal, creating jobs and financial security programs. His ability to act boldly and provide hope helped restore economic stability, demonstrating that crisis leadership requires both pragmatism and vision. -/- Political leaders must navigate public trust, ethical governance, and crisis management to create a lasting impact. -/- III. Leadership in Business: Challenges and Solutions -/- A. Innovating in a Competitive Market -/- Business leaders must drive innovation to stay relevant. Steve Jobs, the co-founder of Apple, revitalized the company in 1997 by simplifying product lines, focusing on design, and introducing the iMac, iPod, and iPhone. His ability to anticipate consumer needs and redefine technology made Apple a global leader. -/- B. Handling Public Backlash and Crisis -/- Leaders often face setbacks, as seen with Elon Musk’s challenges in Tesla and SpaceX. Tesla nearly collapsed due to production delays, and SpaceX suffered multiple rocket failures. Musk’s resilience and continuous refinement of technology eventually led to both companies’ success, proving that failure is an opportunity for learning and improvement. -/- C. Scaling a Startup into a Global Brand -/- Jack Ma, founder of Alibaba, faced intense competition from eBay and Amazon. By focusing on China’s local market and empowering small businesses, he turned Alibaba into an e-commerce giant. His leadership highlights the importance of understanding market needs and building a strong brand identity. -/- Business leaders must balance innovation, crisis management, and global strategy to build and sustain successful enterprises. -/- IV. Leadership in Education: Challenges and Solutions -/- A. Reforming Outdated Education Systems -/- Educational leaders must adapt learning models to better serve students. Maria Montessori revolutionized early childhood education by creating a student-centered approach, allowing children to learn at their own pace. Her method is now used worldwide, proving that challenging traditional systems can lead to better learning outcomes. -/- B. Ensuring Equal Access to Quality Education -/- In many parts of the world, education is still a privilege rather than a right. Malala Yousafzai fought for girls’ education in Pakistan despite facing life-threatening dangers. Her activism led to global policy changes, showcasing that fearless advocacy can break educational barriers. -/- C. Leading Schools During a Crisis (COVID-19 Pandemic) -/- When the COVID-19 pandemic forced schools to close, educational leaders had to quickly transition to online learning. Successful leaders implemented digital tools, teacher training, and student support programs to maintain educational quality. Their ability to embrace technology and prioritize student well-being was crucial during the crisis. -/- Educational leaders must focus on innovation, accessibility, and adaptability to improve learning systems. -/- V. Leadership Styles & Adaptability -/- A great leader adapts their leadership style based on circumstances: -/- Transformational Leadership – Inspires innovation and major change (e.g., Steve Jobs). -/- Servant Leadership – Prioritizes team members’ needs (e.g., Malala Yousafzai). -/- Authoritative Leadership – Makes decisive choices in crises (e.g., Franklin D. Roosevelt). -/- Democratic Leadership – Encourages collaboration and shared decision-making (e.g., Lee Kuan Yew). -/- The best leaders balance these styles to meet challenges effectively. -/- V. Conclusion: The Universal Principles of Great Leadership -/- Whether in politics, business, or education, an excellent leader shares common traits: vision, resilience, adaptability, and ethical integrity. However, their leadership is defined by how they apply these qualities to real-world problems. Political leaders must focus on unity and governance, business leaders on innovation and market strategy, and educational leaders on accessibility and reform. -/- The greatest leaders in history prove that true leadership is not about power, but about creating lasting positive change. By understanding and applying these principles, future leaders can shape a better world. -/- . (shrink)

Augustine and William James both argue that religious faith can be both practical and rational even in the absence of knowledge. Augustine argues that religious faith is trust and that trust is a normal, proper, and even necessary way of believing. Beginning with faith, we then work towards knowledge by means of philosophical contemplation. James’ “The Will to Believe” makes pragmatic arguments for the rationality of faith. Although we do not know (yet) whether God exists, faith is a (...) choice between the risk of believing something false and the risk of not believing something true, and in the absence of convincing evidence we may decide for ourselves which risk we prefer. We may be able to experience God in the future and thereby gain knowledge, yet this may be contingent on our willingness to believe. There are key differences, however. Augustine is a Christian with a neo-Platonic bent, James an empiricist defending the religion of your choice. These differences may be less significant than they first appear. After explaining Augustine and then James I draw out the major points of comparison and contrast and suggest a few reasons their insights might be at least partially synthesized. -/- This is the accepted version of the following article: Mark J. Boone, “Augustine and William James on the Rationality of Faith,” The Heythrop Journal (online edition December 2018), which has been published in final form at [See First URL]. This article may be used for non-commercial purposes in accordance with the Wiley Self-Archiving Policy [See Second URL]. (shrink)