A large amount of data is maintained in every Social networking sites.The total data constantly gathered on these sites make it difficult for methods like use of field agents, clipping services and ad-hoc research to maintain social media data. This paper discusses the previous research on sentiment analysis.

This paper presents a phenomenological analysis of shame in social networks. Initially, I examine Sartre’s (1956) account of the look and shame along with Dolezal’s (2017) reinterpretation. I then explore how shame is negotiated in online interactions arguing that, in social networking systems (SNSs), shame is banned. Since subjects are constantly visible when posting content, they tend to share material that minimizes the risk of shame’s thunderstruck. Yet, this shameless self-presentation raises complex phenomenological intricacies regarding personal identity and (...) self-identification: in SNSs individuals strive for self-completion in posts, attempting to solve their otherwise irresolvable self-individuation process. (shrink)

This article explores the norms that govern regular users’ acts of sharing content on social networking sites. Many debates on how to counteract misinformation on Social Networking Sites focus on the epistemic norms of testimony, implicitly assuming that the users’ acts of sharing should fall under the same norms as those for posting original content. I challenge this assumption by proposing a non-epistemic interpretation of (mis) information sharing on social networking sites which I construe as infrastructures for (...) forms of life found online. Misinformation sharing belongs more in the realm of rumour spreading and gossiping rather than in the information-giving language games. However, the norms for sharing cannot be fixed in advance, as these emerge at the interaction between the platforms’ explicit rules, local norms established by user practices, and a meta-norm of sociality. This unpredictability does not leave us with a normative void as an important user responsibility still remains, namely that of making the context of the sharing gesture explicit. If users will clarify how their gestures of sharing are meant to be interpreted by others, they will implicitly assume responsibility for possible misunderstandings based on omissions, and the harms of shared misinformation can be diminished. (shrink)

The study aimed to identify the reality of the use of social networks in the technical colleges in Palestine, where the variables of social networks were included. The analytical descriptive method was used in the study. A questionnaire consisting of (12) items was randomly distributed to college workers Technology in the Gaza Strip. The sample of the study consisted of (205) employees of these colleges. The response rate was 74.5%. The results showed a high degree of approval for (...) the dimensions of the social networks and a relative weight (74.15%) according to the perspective of the employees of the technical colleges in the Gaza Strip. The results of the study showed that there is a high level of social networking areas (site management and Website Content) in the technical colleges in the Gaza Strip. The field of site management ranked first with a relative weight of 74.91%, and second and last (Content Site) with a relative weight (73.38%). The results showed that there were differences between colleges in the use of social networks where the results showed that the most common colleges used these networks (UCAS) and the least used is (GTC). The results showed no differences between male and female employees in the use of social networks in technical colleges. The researchers suggest a number of recommendations, including: the need to raise awareness of the importance of Facebook and other social networking sites, through the holding of courses for employees in technical colleges, and to identify the ways to optimize the use of such sites, and the benefits of this use, and reflected positively on technical colleges. And the adoption of dealing with the various social networking sites as a reality, and the Palestinian and Arab technical colleges, use them in accordance with the objectives of technical colleges. Advise the Department of Technical Colleges to devote time to their presence on social networks to follow the public and respond to their queries. There is a need for the attention of decision-makers in technical colleges in social sites, because they are considered an important and effective means of communication, and the link between beneficiaries and decision-makers. There is a need to promote the use of modern electronic means of work and the need to increase the link of customers to the college through electronic services. (shrink)

Social network structure has been argued to shape the structure of languages, as well as affect the spread of innovations and the formation of conventions in the community. Specifically, theoretical and computational models of language change predict that sparsely connected communities develop more systematic languages, while tightly knit communities can maintain high levels of linguistic complexity and variability. However, the role of social network structure in the cultural evolution of languages has never been tested experimentally. Here, (...) we present results from a behavioral group communication study, in which we examined the formation of new languages created in the lab by micro‐societies that varied in their network structure. We contrasted three types of social networks: fully connected, small‐world, and scale‐free. We examined the artificial languages created by these different networks with respect to their linguistic structure, communicative success, stability, and convergence. Results did not reveal any effect of network structure for any measure, with all languages becoming similarly more systematic, more accurate, more stable, and more shared over time. At the same time, small‐world networks showed the greatest variation in their convergence, stabilization, and emerging structure patterns, indicating that network structure can influence the community's susceptibility to random linguistic changes (i.e., drift). (shrink)

This paper offers an introduction to poststructuralist interpretivist research in information systems, through a poststructuralist theoretical reading of the phenomenon and experience of social networking websites, such as Facebook. This is undertaken through an exploration of how loyally a social networking profile can represent the essence of an individual, and whether Platonic notions of essence, and loyalty of copy, are disturbed by the nature of a social networking profile, in ways described by poststructuralist thinker Deleuze’s notions of (...) the reversal of Platonism. In bringing a poststructuralist critique to such hugely successful and popular social information systems, the paper attempts to further open up the black box of the computer ‘user’, extend interpretive approaches to information systems research to embrace poststructuralism, and explore how notions of the Self might be reflected through engagement with information system (IS), and how an IS appreciation of the phenomenon of global social networking may benefit from embracing such a poststructuralist approach. (shrink)

Despite iterative learning design being increasingly implemented, such approaches are often delineated by well-defined periods of design/implementation. However, second-order cybernetics, which suggests a participatory approach to learning design, involves responsively adapting learning environments to meet students’ needs, treating them as agentic participants in the classroom. In our mixed methods study, we investigate whether such a process can facilitate egalitarian participation and collaborative interactions in a technology-assisted classroom. We use the example of a graduate psychology class of 17 students and suggest (...) that adaptation of live-chat activities by a participant observer on the Reddit social media platform that supplemented the in-person lecture dynamically, using a network analysis and qualitative ethnography as a modelling facility mimicked the ongoing feedback loops of social media platforms, enabling students to use social media with a critical eye, and engage in productive collaboration. Our quantitative results present network graphs for weekly eigen centrality to understand the egalitarian nature of the network, and transitivity to understand the likelihood for collaboration between more than two agents. Our qualitative results elaborate selected Reddit posts, and weekly field notes to explain how redesigning the chat weekly helped augment lecture-based discussion with the instructor and critique of student presentations, spurring egalitarian participation through a space-place dialectic. Students also provided end-semester feedback that was analyzed using inductive coding, to design future courseware. (shrink)

Varying degrees of symmetry can exist in a social network's connections. Some early online social networks (OSNs) were predicated on symmetrical connections, such as Facebook 'friendships' where both actors in a 'friendship' have an equal and reciprocal connection. Newer platforms -- Twitter, Instagram, and Facebook's 'Pages' inclusive -- are counterexamples of this, where 'following' another actor (friend, celebrity, business) does not guarantee a reciprocal exchange from the other. -/- This paper argues that the basic asymmetric connections in (...) an OSN leads to emergent asymmetrical behaviour in the OSN's overall influence and connectivity, amongst others. This paper will then draw on empirical examples from popular sites (and prior network research) to illustrate how asymmetric connections can render individuals 'voiceless'. -/- The crux of this paper is an argument from the existentialist viewpoint on how the above asymmetric network properties lead to Sartrean bad faith (Sartre, 1943). Instead of genuine interpersonal connection, one finds varying degrees of pressure to assume the Sartrean 'in-itself' (the en soi) mode-of-being, irregardless of the magnitude of 'followers' one has. -/- Finally, this paper poses an open question: what other philosophical issues does this inherent asymmetry in modern social networking give rise to? (shrink)

Twitter is one of the biggest social media sites, where users may share their thoughts, ideas, and opinions as well as discuss current events and live tweets. In the subject of opinion mining, creating reliable and effective algorithms for sarcasm detection on Twitter is an intriguing task. Sarcasm is the use of positive language to convey depressing emotions while speaking in opposition to one’s own intentions. Sarcasm is frequently employed on social networking and micro blogging platforms, where users (...) can offend others and find it difficult to express their true feelings. The deep learning technique utilised in the current algorithms to identify these sarcastic tweets has the limitation of not being able to predict continuous variables. A novel deep learning algorithm is proposed to identify both positive and negative terms as well as sarcasm in comments. Deep neural networks are used to classify the comments into positive and negative word categories. Customers’ opinions are mined using sentiment analysis to find and extract information from the text. Sarcastically stated statements from social networking sites can be quickly categorised and recognised by using VADER (Valence Aware Dictionary and Sentiment Reasoner). (shrink)

The outcomes of a bibliographic review on political communication, in particular electoral communication in social networks, are presented here. The electoral campaigning are a crucial test to verify the transformations of the media system and of the forms and uses of the linguistic acts by dominant actors in public sphere – candidates, parties, journalists and Gatekeepers. The aim is to reconstruct the first elements of an analytical model on the transformations of the political public sphere, with which to systematize (...) the results of the main empirical research carried out in recent years, in particular those conducted with a promising methodology: Digital Trace Data Analysis. (shrink)

Background: Social media technology has provided platforms for enhanced human communication and expanded opportunities for self-expression. Despite the numerous gains, this social networking media, come with myriads of limitations; one being the tendency to be abused and/or misused, especially by young people or the young at heart. This study examined how social networking media influence the sexual behaviours of university undergraduates in Nigeria. -/- Materials and Methods: The survey research method was adopted. A sample size of 396 (...) students was determined using the Taro Yamane’s formula. The study was anchored on the Technological Determinism theory. Data were collected through a structured questionnaire with a reliability coefficient of 0.99 through test-retest method. Data collected were analysed using descriptive statistics with the aid of SPSS v25 software. -/- Results: Findings showed, amongst others that, undergraduates in Nigerian universities are largely exposed to a substantial amount of sexual contents on various social media networks; and that this exposure negatively influences their psychology towards sex as manifested in the area of dating before marriage as a result of indulgence in interactive and romantic sites. -/- Conclusion and Recommendations: The study recommends the introduction of social media education in higher institutions to help enlighten students on the responsible use of these technologies to minimize the inherent weaknesses and maximize the intrinsic values of utilising these media platforms. (shrink)

Academic social networks and social media have revolutionised the way individuals gather information and express themselves, particularly in academia, science, and research. Through the lens of academics, this study aims to investigate the epistemological and psychosocial aspects of these knowledge sources. The epistemological attitude model presented a framework to delve into and reflect upon the existence of knowledge sources, comprising subjective, interactional, and knowledge dimensions. One hundred and twenty-six university academics participated in this study, including lecturers and researchers (...) from different higher education institutions in Latvia. The study employed two methods: the Epistemological Attitudes towards Sources of Knowledge Questionnaire and the Epistemological Attitudes towards Sources of Knowledge Semantic Questionnaire. The data analysis involved several procedures, including exploratory and confirmatory factor analysis, correlation analysis, and test statistics. By implementing these methods, the study gained valuable insights into the sources of knowledge, examining them from two perspectives. The first perspective brought attention to the differences in academics’ appraisals by discussing their understanding, approach, use, and valuations of these sources. By scrutinising the constructs of meanings, the second perspective sheds light on the anticipated knowledge which is deemed ideal, the concrete knowledge that is both social and objective, and the subjectively valuable nature of academic social networks and social media. The findings underscore the specialised knowledge and qualities that academics rely on for producing knowledge. In terms of epistemology, methodology, social science, and education, the study holds theoretical and practical implications, especially in comprehending knowledge and its sources. (shrink)

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise it here (...) and identify three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)

Introduction. The development of online marketing in social networks creates unique opportunities for personal selling. Especially these opportunities are manifested in online education when they buy a brand of an expert with experience in a particular field. That is why a competitive space is being formed in the Instagram social network, where a personal brand acts as a product or service. -/- Materials and methods. Studying the effectiveness of promoting a personal brand in social networks based (...) on the Instagram platform was chosen to have great visual opportunities for self-presentation. As part of the collection of empirical material, two methods were used: a survey (N-200) and content analysis of three blogger accounts with high rates of activity and popularity. -/- Results and discussion. Content analysis of bloggers showed that an algorithmic feed on a social network allows bloggers to control the content. To help them, Instagram provides statistical data on user reach, thereby capturing trends in the movement of the blogger’s audience. The main task of a blogger is to combine real and “virtual” images so as not to lose consumer confidence. A survey of social network users confirmed the importance of a personal brand for them. The survey also made it possible to identify the most popular audience requests that they expect from bloggers and their accounts: valuable reviews and recommendations, case studies and author’s solutions, storytelling, blogger’s reflections and motivating messages, live broadcasts, and stories are important. -/- Conclusions. The results obtained underline followers’ high level of interest in the bloggers’ personal brand on Instagram. The study results show that the most significant number of those involved (those who give feedback and are constantly involved in interaction with the account) is where the formation of a personal brand is built to a greater extent on the emotional level of perception of the individual. (shrink)

Social networking technologies have become a ubiquitous framework for social interaction, serving to organise much of the individual’s social life. Such technological structuring affects not merely the individual’s psyche (as a psychotechnics), it also affects broader aspects of society (as a socio-technics). While social networking technologies may serve to transform society in positive ways, such technologies also have the potential to significantly encroach upon and (re) construct individual and cultural meaning in ways that must be investigated. (...) Erich Fromm, who psychoanalytically describes humans as a product of their society and the economic systems within that society, may provide insight into the influence of social networking technologies in contemporary society. He sees the relationship between the individual and society as being in a constant state of dynamic change. Utilising Fromm’s psycho-societal insight, social networking technologies are shown to conflate and confuse the relation between Thanatos and Eros – the Thanatos of a lifeless and consumerist agenda-filled mechanisation, and the Eros associated with social engagement. Thanatos and Eros are tied together via social networking technologies. This results in, firstly, social networking technologies functioning predominantly to further capitalist agendas through the monetisation of these technologies – particularly in terms of linking commodity fetishism and the foundational social drive of the individual. Secondly, social networking technologies mechanise human action according to predictable behavioural paths through the use of these technologies, especially in terms of how socialisation is possible via these technologies (shaping how platonic and romantic relationships may take place in the contemporary world). Such a mechanisation of interpersonal engagement contrasts with Erich Fromm’s assertion that interpersonal relations (vis-à-vis love) are not “mere emotion”, but rather represent an interpersonal creative capacity and interplay. Fromm’s psycho-societal insights will show how contemporary individuals may take independent and responsible rational action to establish accountable and psychologically beneficial ways of engaging with others through social networking technologies. (shrink)

A new online social network service – Threads – was recently created and launched by Mark Zuckerberg to compete with Twitter. The rate at which people throughout the world accepted and created accounts on this new social network within hours of its creation and launching was prodigious. Conflicts have been inevitable in the world. As one of the Sustainable Development Goals of the United Nations (SDGs) (Goal 16) has to do with peaceful coexistence by the year (...) 2030, this paper aims at comparing the features of Twitter that can be used for conflict resolution to the emerging features of Threads. The paper gives the origin and acceptance of Threads. The discussion in the paper is based on the review of some selected literature, Public Sphere as a Theory of social media, an empirical review of a previous study, and comparisons of some features of Twitter with those of Threads. The paper concluded by giving a recommendation that while Twitter as a social network should not be jettisoned especially in resolving conflicts, the new social network – Threads – should be studied more to discover how it can be used better to resolve conflicts and promote peaceful coexistence in society thereby achieving Goal 16 of the SDGs by the year 2030. (shrink)

Criminal offences and regulatory breaches in using social networking evidence in personal injury litigation Pages 2-7 Current Criminal Law ISSN 1758-8405 Volume 2 Issue 3 March 2010 Author SALLY RAMAGE WIPO 900614 UK TM 2401827 USA TM 3,440.910 Orchid ID 0000-0002-8854-4293 Sally Ramage, BA (Hons), MBA, LLM, MPhil, MCIJ, MCMI, DA., ASLS, BAWP. Publisher & Managing Editor, Criminal Lawyer series [1980-2022](ISSN 2049-8047); Current Criminal Law series [2008-2022] (ISSN 1758-8405) and Criminal Law News series [2008-2022] (ISSN 1758-8421). Sweet & Maxwell (...) (Thomson Reuters) (Licensed Annotator of UK Statutes) in Current Law Statutes Annotated, (2006, 2009, 2010 editions) (sole and separate S&M contracts) for 7 UK Criminal Justice Statutes: UK Safeguarding Vulnerable Persons Act 2006; UK International Development Act 2006; UK Fraud Act 2006; UK Policing and Crime Act 2009, UK Local Democracy Act 2009; UK Bribery Act 2010; and UK Crime and Security Act 2010. Trade Mark SALLY RAMAGE ® 2401827 (2005-2025) in the UK, WIPO Trade Mark SALLY RAMAGE® 900164; USA-(Trade Mark 3,440,910) (2008-2028). WARNING: The doing of an unauthorized act in relation to a copyright work may result in both a civil claim for damages and criminal prosecution. Essentially, Social Network information may not always be admissible in a court of law but may be the door to lead to other, non-contentious evidence. In fact, even illegally obtained evidence may sometimes be admissible evidence, though this is not absolute. Most of the information available on social networking sites will be ‘personal data’. The data controller is the network operator, without whose consent, collecting such information could be an offence, unless it was necessary for the purpose of preventing or detecting crime. (shrink)

The Decentralized Key Protocol (DKP) is a hybrid framework designed to enhance privacy, security, and user control in social networking applications transitioning from centralized to decentralized architectures. DKP combines centralized storage for scalability with blockchain-based access control and integrity verification. Files are stored on centralized servers with random tags, anonymizing user data, while key-tag-hash tuples on the blockchain ensure secure access and file integrity. A permission request smart contract enables secure file sharing, where followers must request access for each (...) file view, with the contract verifying their status and granting one-time access to the tag and hash. This paper presents DKPs architecture, evaluates its benefits and challenges, and demonstrates its suitability for privacy-conscious social platforms. DKP offers a practical balance between decentralization, usability, and performance, addressing critical issues in data privacy and trust. (shrink)

In anticipation of the journal’s centenary in 2027 this paper provides a citation network analysis of all available citation and publication data of the Australasian Journal of Philosophy (1923–2017). A total of 2,353 academic articles containing 21,772 references were collated and analyzed. This includes 175 articles that contained author-submitted keywords, 415 publisher-tagged keywords and 519 articles that had abstracts. Results initially focused on finding the most published authors, most cited articles and most cited authors within the journal, followed by (...) most discussed topics and emerging patterns using keywords and abstracts. The analysis then proceeded to apply social network analysis using Kumu© – a visualization platform for mapping systems and relationships using large datasets. Analysis reveals topic clusters both unique to the journal, and inclusive of the journal’s history. Results from this analysis reaffirm the journal’s continuing focus on topics in traditional analytic philosophy such as morality, epistemology and knowledge, whilst also featuring topics associated with logic and paradox. This paper presents a new approach to analysing and understanding the historic and emerging topics of interest to the journal, and its readership. This has never previously been done for single philosophy journal. This is historically important given the journal’s forthcoming centenary. (shrink)

Cyberbullying, a contemporary menace within the realm of social media, has emerged alongside the surge in social media usage, leading to the exploitation of freedom of expression. Statistics indicate that a substantial 36.5% of individuals believe they have experienced cyberbullying at some point in their lives. This figure has more than doubled since 2007, and there has been a noticeable increase from 2018 to 2023, indicating an unfavorable trend. Although existing solutions in the market aim to mitigate this (...) issue, they often come with usage limitations or inefficient algorithms. (shrink)

With the exponential growth of online social networks, now boasting over 4 billion active users, maintaining data integrity and ensuring user security has become increasingly challenging. Social media platforms face numerous security threats, including the creation of fake profiles by malicious users seeking to steal sensitive information, spread misinformation, or engage in fraudulent activities. Due to the anonymity afforded by these platforms, detecting such deceptive accounts manually is both difficult and inefficient. This project focuses on the detection of (...) fake profiles using machine learning and deep learning techniques, trained on platform-specific datasets to improve accuracy. A web-based application has been developed featuring four core modules, each dedicated to a major social media platform experiencing rapid user growth. Each module integrates a trained model to assess and classify user profiles as real or fake. Currently, the system has been implemented for Instagram, with plans to expand to other platforms. This approach aims to provide a scalable and intelligent solution to enhance user trust and safety across social media environments. (shrink)

In this paper, I aim to explore the question, “What distinguishes philosophy in its original sense? ” My intent is not to provide a historical overview of philosophy, but to concentrate on what makes philosophy a liberating practice. I argue that this practice is rooted in its poetic and affirmative way of organizing life. To emphasize this idea, I contrast it with the presumed organization found in social media and networks. While social media and networks encourages commitment by (...) simplifying complexity, they also restrict users' freedom, responsibility, and ability to make meaningful decisions. To support these claims, I examine the role of algorithms in the organizing function of social media and networks, viewing them through the lens of a poetic philosophy to determine if a more affirmative and liberating forms of existential organization is possible. (shrink)

Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure (...) of networks their due. In particular, we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

Environmental change is placing increasing strain on communities that depend directly on natural resources. Along Kenya’s coast, small-scale fishing communities face mounting challenges as marine resources decline, threatening both food security and livelihoods. In such contexts, adaptation is not merely desirable—it is vital. However, not all community members are equally able to shape or participate in the decisions that drive adaptation, raising fundamental concerns about fairness and justice.

In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly (...) half the accounts engaging with this topic are pro-vaccine, while the other half are con-vaccine. We also show that these two camps rarely engage with one another, and that the con-vaccine camp has greater epistemic reach and receptivity than the pro-vaccine camp. In light of these findings, we question whether testimonial networks as they are currently constituted on popular fora such as Twitter are living up to their promise of delivering the wisdom of crowds. We conclude by pointing to directions for further research in digital social epistemology. (shrink)

The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence; and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper (...) reports on an open-source reimplementation of their algorithm in Python, optimized to be usable on much larger networks. In addition to the algorithm and package, we also show the ability to scale up our package to large synthetic social network graph profiling, and finally demonstrate its utility in analyzing real-world empirical evidence of ‘echo chambers’ on online social media, as well as evidence of interdisciplinary diversity in an academic communications network. (shrink)

A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain types does (...) show clear threshold effects. Intriguingly, however, those effects appear to be importantly independent from more familiar threshold effects in networks. (shrink)

We consider how an epistemic network might self-assemble from the ritualization of the individual decisions of simple heterogeneous agents. In such evolved social networks, inquirers may be significantly more successful than they could be investigating nature on their own. The evolved network may also dramatically lower the epistemic risk faced by even the most talented inquirers. We consider networks that self-assemble in the context of both perfect and imperfect communication and compare the behaviour of inquirers in each. (...) This provides a step in bringing together two new and developing research programs, the theory of self-assembling games and the theory of network epistemology. (shrink)

What is data? That question is the fundamental investigation of this dissertation. I have developed a methodology from social-scientific processes to explore how different people understand the concept of data, rather than to rely on my own philosophical intuitions or thought experiments about the “nature” of data. The evidence I have gathered as to different individuals' constructions of data can be used to inform further inquiry of data and the design of information systems. My research demonstrates that people have (...) different constructions of data. The methodology of the SDFN, created for this dissertation, has proven able to probe those understandings. The SDFN, loosely based on a DFD and combined with ideas from SNA, provides a way of discovering practical definitions of hard-to-operationalize terms like data. The process of repeatedly categorizing various items as data allows the methodology to explore how participants actually use the term, rather than relying on theoretical dictionary-based definitions. Analysis of the interviews found three different constructions of data: data as communications, a container for meaning; data as subjective observations, sense-impressions filtered by knowledge; and data as objective facts, measurements revealing the relationships of reality. (shrink)

Most of human-robot interaction (HRI) research relies on an implicit assumption that seems to drive experimental work in interaction studies: the more anthropomorphism we can reach in robots, the more effective the robot will be in 'being social.' The notion of 'sociomorphing' was developed in order to challenge the assumption of ubiquitous anthropomorphizing. This paper aims to explore the notion of sociomorphing by analysing the possibilities offered by actor-network theory (ANT). We claim that ANT is a valid framework (...) to re-think the conceptual couple anthropomorphizing / sociomorphing and answer the following question: What kind of negotiation process and social practices can be developed in HRI, given the notion of sociomorph interactional networks? (shrink)

Network analysis as a tool for ecological interactions studies has been widely used since last decade. However, there are few studies on the factors that shape network patterns in communities. In this sense, we compared the topological properties of the interaction network between flower-visiting social wasps and plants in two distinct phytophysiognomies in a Brazilian savanna (Riparian Forest and Rocky Grassland). Results showed that the landscapes differed in species richness and composition, and also the interaction networks (...) between wasps and plants had different patterns. The network was more complex in the Riparian Forest, with a larger number of species and individuals and a greater amount of connections between them. The network specialization degree was more generalist in the Riparian Forest than in the Rocky Grassland. This result was corroborated by means of the nestedness index. In both networks was found asymmetry, with a large number of wasps per plant species. In general aspects, most wasps had low niche amplitude, visiting from one to three plant species. Our results suggest that differences in structural complexity of the environment directly influence the structure of the interaction network between flower-visiting social wasps and plants. (shrink)

With the advent of the “Clean India” campaign in India, a renewed focus on cleanliness has started, with a special focus on sanitation. There have been efforts in the past to provide sanitation related services. However, there were several challenges in provisioning. Provision of sanitation is a public health imperative given increased instances of antimicrobial resistance in India. This paper focuses on sanitation provisioning in the city of Mumbai, especially in the slums of Mumbai. The paper compares and contrasts different (...) models of sanitation provision including supply-led provisioning of sanitation by the Indian government to demand-led provisioning of sanitation through a World Bank funded “Slum Sanitation Program” (SSP). The paper also outlines a comparative perspective on the implementation and usage of toilet blocks. The author presents the theory of social networks and positive peer pressure and argues that these will amplify the effect of other incentives. With the help of an illustration, this paper concludes that the sustainable sanitation policy should look at facilitating and creating the infrastructure as a network and not strictly at building toilet blocks. (shrink)

What do humility, intellectual humility, and open-mindedness mean in the context of inter-group conflict? We spend most of our time with ingroup members, such as family, friends, and colleagues. Yet our biggest disagreements —— about practical, moral, and epistemic matters —— are likely to be with those who do not belong to our ingroup. An attitude of humility towards the former might be difficult to integrate with a corresponding attitude of humility towards the latter, leading to smug tribalism that masquerades (...) as genuine virtue. These potentially conflicting priorities have recently come to the fore because “tribal epistemology” has so thoroughly infected political and social discourse. Most research on these dispositions focuses on individual traits and dyadic peer-disagreement, with little attention to group membership or inter-group conflict. In this chapter, we dilate the social scale to address this pressing philosophical and social problem. (shrink)

In this chapter, I consider three ‘promises’ of bringing phenomenology into dialogue with networked learning. First, a ‘conceptual promise’, which draws attention to conceptual resources in phenomenology that can inspire and inform how we understand, conceive of, and uncover experiences of participants in networked learning activities and environments. Second, a ‘methodological promise’, which outlines a variety of ways that phenomenological methodologies and concepts can be put to use in empirical research in networked learning. And third, a ‘critical promise’, which suggests (...) how work done in the realm of critical phenomenology is complementary to and useful for exploring the social justice and emancipatory aims of networked learning researchers. Through this framework, I reflect upon multiple ways in which phenomenology has and might continue to fruitfully inform and shape networked learning research. In doing so, I emphasise that deploying phenomenology in the context of networked learning not only enriches our understanding of networked learning but that phenomenology itself is enriched through testing, finetuning, and expanding its methods, concepts, and understanding, as well as unveiling its own limitations and constraints. (shrink)

It is common for social theorists to utilize the metaphors of ‘flow’, ‘fluidity’, and ‘liquidity’ in order to substantiate the ways in which speed and mobility form the basis for a new kind of information or network society. Yet rarely have these concepts been sufficiently theorized in order to establish their relevance or appropriateness. This article contends that the notion of flow as utilized in social theory is profoundly metaphysical in nature, and needs to be judged as (...) such. Beginning with a discussion of the accelerating timescape that characterizes the network society, it will then move on to examine three main issues with this ‘metaphysics of flux’. First, that the concept of flows unjustly privileges the process of becoming and, as a result, is unable to account for the materiality, substantiality, and agency of the objects being mobilized, and the contingency of their mediation. Second, that it posits the accelerating tendencies of capital as an ontological inevitability, thus discounting resistance to such forces. Finally, that it ignores the human faculty for reason and speculative thought in developing alternative means of political praxis. The solution, it will be argued, is not to abandon metaphysical accounts of the network society, but rather to challenge those accounts that, in exhibiting a crude empiricism, work to justify the status quo. (shrink)

In “Regulating social media as a public good: Limiting epistemic segregation” (2022), Toby Handfield tackles a well-known problematic aspect of widespread social media use: the formation of ideologically monotone and insulated social networks. Handfield argues that we can take some cues from economics to reduce the extent to which echo chambers grow up around individual users. Specifically, he argues that tax incentives to encourage network heterophily may be levied at any of three different groups: individual (...) class='Hi'>social media users, social media sites/companies, or advertisers who use social media to promote their products and material. In this response, I examine the plausibility of using such incentives on each of the these groups. I argue, first, that using tax incentives on either (1) social media companies or (2) advertisers would be ineffective as these incentives could not feasibly be made strong enough to override the enormous financial gain of the standard social media algorithms. Next, I argue that levying the incentives/penalties on individual users would be a hazard, due to the risk of what is called the epistemic “backfire effect”. Finally, I argue that the problem lies in relying on incentives and disincentives—rather than direct regulation—to increase network heterophily. (shrink)

International integration is a mandatory requirement and a dispensible trend for Vietnamese science today. Specifically, when comparing between natural sciences and technology (NS-T) with social sciences (SS), many researchers suggested that SS in Vietnam have a lower level of integration than NS-T. However, according to our understanding, there have not been many statistical studies, estimates and quantitative evaluation of the integration level of Vietnam social science. In this article, using the Network of Vietnamese Social Sciences database (...) developed by AI Social Data Lab, we introduce and analyze research results of domestic and overseas Vietnamese authors within the 2008-2018 period based on the following aspects: individual researchers (gender, study major, cooperation, leadership role), research group, work agency, study major, localities... Based on these preliminary results, a number of recommendations and policy implications would be proposed for policy makers as well as university leaders/managers. (shrink)

Purpose – The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and an artificial neural network model. -/- Design/methodology/approach – This study applied a non-linear artificial neural (...) network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia. -/- Findings – The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behaviour. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively. -/- Research limitations/implications – The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers. -/- Practical implications – This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behaviour and intention to purchase. -/- Originality/value – This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioural determinants. (shrink)

To explore social media use in New Zealand, a sample of 1001 adults aged 18 and over were surveyed in November 2021. Participants were asked about the frequency of their use of different social media platforms (text message included). This report describes how often each of the nine social media sites and apps covered in the survey are used individually on a daily basis. Differences based on key demographics, i.e., age and gender, are tested for statistical significance, (...) and findings summarised. (shrink)

Public health care interventions—regarding vaccination, obesity, and HIV, for example—standardly take the form of information dissemination across a community. But information networks can vary importantly between different ethnic communities, as can levels of trust in information from different sources. We use data from the Greater Pittsburgh Random Household Health Survey to construct models of information networks for White and Black communities--models which reflect the degree of information contact between individuals, with degrees of trust in information from various sources correlated with (...) positions in that social network. With simple assumptions regarding belief change and social reinforcement, we use those modeled networks to build dynamic agent-based models of how information can be expected to flow and how beliefs can be expected to change across each community. With contrasting information from governmental and religious sources, the results show importantly different dynamic patterns of belief polarization within the two communities. (shrink)

Depression is a common and devastating instance of ill-being which deserves an account. Moreover, the ill-being of depression is impacted by digital technology: some uses of digital technology increase such ill-being while other uses of digital technology increase well-being. So a good account of ill-being would explicate the antecedents of depressive symptoms and their relief, digitally and otherwise. This paper borrows a causal network account of well-being and applies it to ill-being, particularly depression. Causal networks are found to provide (...) a principled, coherent, intuitively plausible, and empirically adequate account of cases of depression in every-day and digital contexts. Causal network accounts of ill-being also offer philosophical, scientific, and practical utility. Insofar as other accounts of ill-being cannot offer these advantages, we should prefer causal network accounts of ill-being. (shrink)

The paper analyses issues related to supervision and support of early career researchers in Estonian academia. We use nine focus groups interviews conducted in 2015 with representatives of social sciences in order to identify early career researchers’ needs with respect to support, frustrations they may experience, and resources they may have for addressing them. Our crucial contribution is the identification of wider support networks of peers and colleagues that may compensate, partially or even fully, for failures of official supervision. (...) On the basis of our analysis we argue that support for early career researchers should take into account the resources they already possess but also recognise the importance of wider academic culture, including funding and employment patterns, and the roles of supervisors and senior researchers in ensuring successful functioning of support networks. Through analysing the conditions for the development of early career researchers – producers of knowledge – our paper contributes to social epistemology understood as analysis of specific forms of social organisation of knowledge production. (shrink)

This chapter explores the idea that the need to establish common knowledge is one feature that makes social cognition stand apart in important ways from cognition in general. We develop this idea on the background of the claim that social cognition is nothing but a type of causal inference. We focus on autism as our test-case, and propose that a specific type of problem with common knowledge processing is implicated in challenges to social cognition in autism spectrum (...) disorder (ASD). This problem has to do with the individual’s assessment of the reliability of messages that are passed between people as common knowledge emerges. The proposal is developed on the background of our own empirical studies and outlines different ways common knowledge might be comprised. We discuss what these issues may tell us about ASD, about the relation between social and non-social cognition, about social objects, and about the dynamics of social networks. (shrink)

In this paper we make a simple theoretical point using a practical issue as an example. The simple theoretical point is that robustness is not 'all or nothing': in asking whether a system is robust one has to ask 'robust with respect to what property?' and 'robust over what set of changes in the system?' The practical issue used to illustrate the point is an examination of degrees of linkage between sub-networks and a pointed contrast in robustness and fragility between (...) the dynamics of (1) contact infection and (2) information transfer or belief change. Time to infection across linked sub-networks, it turns out, is fairly robust with regard to the degree of linkage between them. Time to infection is fragile and sensitive, however, with regard to the type of sub-network involved: total, ring, small world, random, or scale-free. Aspects of robustness and fragility are reversed where it is belief updating with reinforcement rather than infection that is at issue. In information dynamics, the pattern of time to consensus is robust across changes in network type but remarkably fragile with respect to degree of linkage between sub-networks. These results have important implications for public health interventions in realistic social networks, particularly with an eye to ethnic and socio-economic sub-communities, and in social networks with sub-communities changing in structure or linkage. (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)

In this chapter, I systematically distinguish a variety of ways to rela- tionalize economics and focus on a certain approach to relationalizing normative economics in the light of communal values salient in the African philosophical tradi- tion. I start by distinguishing four major ways to relationalize empirical economics, viz., in terms of its ontologies, methods, explanations, and predictions and also three major ways to relationalize normative economics, with regard to means taken towards ends, decision-procedures used to specify ends, and ends (...) themselves. Then, in the remainder of the chapter, I address what would be involved in relationalizing the ends of economic choices, given ideals of communal relationship characteristically prized by sub-Saharan philosophers, particularly southern African adherents to ubuntu. I advance communal answers to the two large questions of what an economy should distribute and how to engage with stakeholders, and I suggest that the implications will be found plausible by many open-minded enquirers around the world. Although this chapter is a work of ethical philosophy, it is meant to be of broad interest to scholars in economics. (shrink)

As part of this study, it was suggested that, like other social media, Reddit allows to embody models of communicative interaction in a digital environment. The comments under three creepypastas published on the subreddit NoSleep, were selected as the object of the study. To prove the original thesis, the comments were analyzed from the perspective of social sharing of emotions (SSE) — a process characteristic of real interpersonal communication. The comments were studied manually using the method of intentional (...) analysis. As a result of the study, the main intentional categories characteristic of the social sharing of emotions in the comments on NoSleep were established. It was concluded that SSE in the comments under creepypastas generally coincides with the existing models, and the differences found can be explained by the specifics of the digital environment and the concrete features of Reddit as social media. (shrink)

Social media platforms have been rapidly increasing the number of informational labels they are appending to user-generated content in order to indicate the disputed nature of messages or to provide context. The rise of this practice constitutes an important new chapter in social media governance, as companies are often choosing this new “middle way” between a laissez-faire approach and more drastic remedies such as removing or downranking content. Yet information labeling as a practice has, thus far, been mostly (...) tactical, reactive, and without strategic underpinnings. In this paper, we argue against defining success as merely the curbing of misinformation spread. The key to thinking about labeling strategically is to consider it from an epistemic perspective and to take as a starting point the “social” dimension of online social networks. The strategy we articulate emphasizes how the moderation system needs to improve the epistemic position and relationships of platform users — i.e., their ability to make good judgements about the sources and quality of the information with which they interact on the platform — while also appropriately respecting sources, seekers, and subjects of information. A systematic and normatively grounded approach can improve content moderation efforts by providing clearer accounts of what the goals are, how success should be defined and measured, and where ethical considerations should be taken into consideration. We consider implications for the policies of social media companies, propose new potential metrics for success, and review research and innovation agendas in this regard. (shrink)

Recent studies of school-age children and adolescents have used social network analyses to characterize selection and socialization aspects of peer groups. Fewer network studies have been reported for preschool classrooms and many of those have focused on structural descriptions of peer networks, and/or, on selection processes rather than on social functions of subgroup membership. In this study we started by identifying and describing different types of affiliative subgroups (HMP- high mutual proximity, LMP- low mutual proximity, and (...) ungrouped children) in a sample of 240 Portuguese preschool children using nearest neighbor observations. Next, we used additional behavioral observations and sociometric data to show that HMP and LMP subgroups are functionally distinct: HMP subgroups appear to reflect friendship relations, whereas LMP subgroups appear to reflect common social goals, but without strong, within-subgroup dyadic ties. Finally, we examined the longitudinal implications of subgroup membership and show that children classified as HMP in consecutive years had more reciprocated friendships than did children whose subgroup classification changed from LMP or ungrouped to HMP. These results extend previous findings reported for North American peer groups. (shrink)