Results for 'Media Bias'

988 found
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  1. Emotions and Digital Well-being. The rationalistic bias of social media design in online deliberations.Lavinia Marin & Sabine Roeser - 2020 - In Christopher Burr & Luciano Floridi (eds.), Ethics of digital well-being: a multidisciplinary approach. Springer. pp. 139-150.
    In this chapter we argue that emotions are mediated in an incomplete way in online social media because of the heavy reliance on textual messages which fosters a rationalistic bias and an inclination towards less nuanced emotional expressions. This incompleteness can happen either by obscuring emotions, showing less than the original intensity, misinterpreting emotions, or eliciting emotions without feedback and context. Online interactions and deliberations tend to contribute rather than overcome stalemates and informational bubbles, partially due to prevalence (...)
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  2. Only Human (In the Age of Social Media).Barrett Emerick & Shannon Dea - 2025 - In Hilkje Charlotte Hänel & Johanna M. Müller (eds.), The Routledge handbook of non-ideal theory. New York, NY: Routledge.
    This chapter argues that for human, technological, and human-technological reasons, disagreement, critique, and counterspeech on social media fall squarely into the province of non-ideal theory. It concludes by suggesting a modest but challenging disposition that can help us when we are torn between opposing oppression and contributing to a flame war.
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  3. Artificial Intelligence in Digital Media: Opportunities, Challenges, and Future Directions.Basma S. Abu Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic and Applied Research (IJAAR) 8 (6):1-10.
    Abstract: This research paper explores the transformative impact of artificial intelligence (AI) on digital media, examining both the opportunities it presents and the challenges it poses. The integration of AI into digital media has revolutionized content creation, distribution, and analytics, offering unprecedented levels of personalization, efficiency, and insight. Automated journalism, AI- driven recommendation systems, and advanced audience analytics are among the key areas where AI is making significant contributions. However, the adoption of AI also brings ethical considerations, including (...)
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  4. Bachelor Thesis: De Relatie Tussen Beeldvorming in de Media en de Nasleep van Onze ‘Vuile Oorlog’ in Indië – Chapter IV.Jan M. Van der Molen - Jul 3, 2018 - Dissertation, Amsterdam University
    In dit hoofdstuk presenteer ik de belangrijkste bevindingen en uitspraken uit mijn diepte-interviews met de respondenten. Ik geef hiermee antwoord op de deelvragen ‘Wat voor beeld wordt er gevormd in Nederlandse kranten over geweldpleging door de Staat in Nederlands-Indië?’, ‘Welk beeld in Nederlandse kranten is exemplarisch voor positieve of negatieve berichtgeving over geweldpleging door de Staat in Nederlands-Indië?’, ‘Wat zijn de belangrijkste reacties geweest van media, Staat of andere betrokkenen op de berichtgeving in kranten over Nederlandse oorlogsmisdaden in Indië?’ (...)
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  5. Toward a Responsible Artistic Agency: Mindful Representation of Fat Communities in Popular Media.Cheryl Frazier - 2024 - Journal of Aesthetics and Art Criticism.
    When fat people are depicted in popular media, we often take their behavior to be representative of all fat people. How one fat person acts becomes representative of a broader pattern of behavior that all fat people are presumed to share, shaping the way we understand fatness. This way of generalizing presents fatness as a singular experience, reducing fat people to a monolithic narrative that often reinforces anti-fat bias. How do we avoid this reduction? How can we responsibly (...)
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  6. Le teorie del complotto nella contemporaneità: conseguenze sociali, tendenze cognitive e social media.Clara Toselli - 2024 - Dissertation, Università di Torino
    Questo lavoro di tesi propone una ricerca riguardante le teorie del complotto seguendo un approccio che mette in collaborazione la filosofia, l’epistemologia, la semiotica e la psicologia sociale al fine di poter disegnare un quadro sufficientemente ampio del modo in cui si formano e diffondono le teorie del complotto nelle società contemporanee. Inizialmente si cercherà di fare chiarezza sui motivi per cui si è scelto questo argomento, su quali obiettivi si propone questo lavoro di tesi e sul perché si ritenga (...)
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  7. Objectivity in the news: Finding a way forward.Carrie Figdor - 2010 - Journal of Mass Media Ethics 25 (1):19 – 33.
    Many media critics believe news reports are inevitably biased and have urged journalists to abandon the objectivity norm. I show that the main arguments for inevitable bias fail but identify factors that make producing objective news difficult. I indicate what the next steps should be to understand bias in the news and to combat it.
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  8. How to Save Face & the Fourth Amendment: Developing an Algorithmic Auditing and Accountability Industry for Facial Recognition Technology in Law Enforcement.Lin Patrick - 2023 - Albany Law Journal of Science and Technology 33 (2):189-235.
    For more than two decades, police in the United States have used facial recognition to surveil civilians. Local police departments deploy facial recognition technology to identify protestors’ faces while federal law enforcement agencies quietly amass driver’s license and social media photos to build databases containing billions of faces. Yet, despite the widespread use of facial recognition in law enforcement, there are neither federal laws governing the deployment of this technology nor regulations settings standards with respect to its development. To (...)
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  9. THE RELATIONSHIP BETWEEN SUBTLE PSYCHOLOGICAL CUES AND VOTER PREFERENCES AMONG UNIVERSITY STUDENTS.Tatenda Ngara - manuscript
    The success of any election depends on whether it was free and fair both to the candidates and the voters. Due to media coverage of national elections locally, regionally and globally, subtle psychological cues have become popular and are being used in student Representative Council (SRC) elections to harness voter preferences. This study focused on investigating the relationship between subtle psychological cues and voter preferences among university of Zimbabwe students. More so, the study was focused on four operationally defined (...)
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  10. Classifying Genetic Essentialist Biases using Large Language Models.Ritsaart Reimann, Kate Lynch, Stefan Gawronski, Jack Chan & Paul Edmund Griffiths - manuscript
    The rapid rise of generative AI, including LLMs, has prompted a great deal of concern, both within and beyond academia. One of these concerns is that generative models embed, reproduce, and therein potentially perpetuate all manner of bias. The present study offers an alternative perspective: exploring the potential of LLMs to detect bias in human generated text. Our target is genetic essentialism in obesity discourse in Australian print media. We develop and deploy an LLM-based classification model to (...)
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  11. Epistemologia delle fake news.Tommaso Piazza & Michel Croce - 2019 - Sistemi Intelligenti 31 (3):433-461.
    Questo articolo prende in esame il fenomeno della proliferazione di fake news da un punto di vista filosofico—anzi, per meglio dire, prettamente epistemologico—con particolare attenzione a tre questioni fondamentali: cosa sono le fake news e come debbano essere definite; quali meccanismi ne favoriscono la proliferazione sui social media; chi debba essere ritenuto responsabile e degno di biasimo nel processo sotteso alla generazione, pubblicazione e diffusione di fake news. A partire dall'analisi dei principali lavori nella letteratura filosofica sul tema, ci (...)
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  12. Role of Haiti in U.S. Independence and Expansion: A Cross-National Perspective.Marjorie Calixte-Hallworth - 2024 - Asian Journal of Basic Science and Research 6 ( Issue 3):139-144.
    This article examines the crucial, yet frequently neglected, contribution of Haiti to the United States' quest for independence and territorial expansion. It explores Haiti's influence on U.S. foreign policy and economic strategies from a cross-national perspective, focusing on key historical events such as the American Revolution and the Louisiana Purchase. Despite Haiti's significant role, mainstream media and historical narratives have largely downplayed these connections, diminishing its impact on the U.S. trajectory. The article also contextualizes current issues, noting the racism (...)
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  13.  49
    AI-Enhanced Public Safety Systems in Smart Cities.Eric Garcia - manuscript
    Ensuring public safety is a critical challenge for rapidly growing urban areas. Traditional policing and emergency response systems often struggle to keep pace with the complexity and scale of modern cities. Artificial Intelligence (AI) offers a transformative solution by enabling real-time crime prediction, optimizing emergency resource allocation, and enhancing situational awareness through IoT-enabled systems. This paper explores how AI-driven analytics, combined with data from surveillance cameras, social media, and environmental sensors, can improve public safety in smart cities. By addressing (...)
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  14. A Fairness Doctrine for the Twenty-First Century.Julian Friedland - 2021 - Areo.
    Michael Goldhaber, who popularized the term the attention economy, said of the US Capitol insurrection: “It felt like an expression of a world in which everyone is desperately seeking their own audience and fracturing reality in the process. I only see that accelerating.” If we don’t do something about this, American democracy may not survive. For when there is no longer any common ground of evidence and reason, history shows that misinformation will eventually overwhelm public discourse and authoritarianism can take (...)
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  15. Agency Laundering and Information Technologies.Alan Rubel, Clinton Castro & Adam Pham - 2019 - Ethical Theory and Moral Practice 22 (4):1017-1041.
    When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call “agency laundering.” At root, agency laundering involves obfuscating one’s moral responsibility by enlisting a technology or process to take some action and letting it forestall others from demanding an account for bad outcomes that result. We argue that the concept of agency laundering helps in understanding important moral problems in a number (...)
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  16. Dossier Chris Marker: The Suffering Image.Gavin Keeney - 2012 - Cambridge Scholars Press.
    This study firstly addresses three threads in Chris Marker’s work – theology, Marxism, and Surrealism – through a mapping of the work of both Giorgio Agamben and Jacques Derrida onto the varied production of his film and photographic work. Notably, it is late Agamben and late Derrida that is utilized, as both began to exit so-called post-structuralism proper with the theological turn in the late 1980s and early 1990s. It addresses these threads through the means to ends employed and as (...)
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  17. The Homo Rationalis in the Digital Society: an Announced Tragedy.Tommaso Ostillio - 2023 - Dissertation, University of Warsaw
    This dissertation compares the notions of homo rationalis in Philosophy and homo oeconomicus in Economics. Particularly, in Part I, we claim that both notions are close methodological substitutes. Accordingly, we show that the constraints involved in the notion of economic rationality apply to the philosophical notion of rationality. On these premises, we explore the links between the notions of Kantian and Humean rationality in Philosophy and the constructivist and ecological approaches to rationality in economics, respectively. Particularly, we show that the (...)
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  18. Turning queries into questions: For a plurality of perspectives in the age of AI and other frameworks with limited (mind)sets.Claudia Westermann & Tanu Gupta - 2023 - Technoetic Arts 21 (1):3-13.
    The editorial introduces issue 21.1 of Technoetic Arts via a critical reflection on the artificial intelligence hype (AI hype) that emerged in 2022. Tracing the history of the critique of Large Language Models, the editorial underscores that there are substantial ethical challenges related to bias in the training data, copyright issues, as well as ecological challenges which the technology industry has consistently downplayed over the years. -/- The editorial highlights the distinction between the current AI technology’s reliance on extensive (...)
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  19. Utilising online eye-tracking to discern the impacts of cultural backgrounds on fake and real news decision-making.Amanda Brockinton, Sam Hirst, Ruijie Wang, John McAlaney & Shelley Thompson - 2022 - Frontiers in Psychology 13:999780.
    Introduction: Online eye-tracking has been used in this study to assess the impacts of different cultural backgrounds on information discernment. An online platform called RealEye allowed participants to engage in the eye-tracking study from their personal computer webcams, allowing for higher ecological validity and a closer replication of social media interaction. -/- Methods: The study consisted of two parts with a total of five visuals of social media posts mimicking news posts on Twitter, Instagram, and Facebook. Participants were (...)
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  20. The association between parent-child relationship and problematic internet use among English- and Chinese-language studies: A meta-analysis.Yalin Zhu, Linyuan Deng & Kun Wan - 2022 - Frontiers in Psychology 13:885819.
    As past studies of the association between parent-child relationship and problematic internet use show mixed results and are influenced by many factors, this meta-analysis of 75 primary Chinese and English language studies from 1990 to 2021 with 110,601 participants (aged 6−25 years) explored (a) the overall association between parent-child relationship and problematic internet use, and (b) whether the association is affected by their types, country, measures, objects of the parent-child relationship, gender, age, year and publication types. We used funnel plots, (...)
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  21. The Relationship between subtle psychological cues and voter preferences among students at University of Zimbabwe.Tatenda Ngara - 2018 - Dissertation, University of Zimbabwe
    The success of any election depends on whether it was free and fair both to the candidates and the voters. Due to media coverage of national elections locally, regionally and globally, subtle psychological cues have become popular and are being used in student Representative Council (SRC) elections to harness voter preferences. This study focused on investigating the relationship between subtle psychological cues and voter preferences among university of Zimbabwe students. More so, the study was focused on four operationally defined (...)
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  22. The Causes of the Low-Level Mentality of the Human Population and the Path to Intellectual Growth.Angelito Malicse - manuscript
    The Causes of the Low-Level Mentality of the Human Population and the Path to Intellectual Growth -/- Humanity has made remarkable advancements in science, technology, and societal organization, yet a significant portion of the global population continues to exhibit a low level of mentality. This phenomenon manifests through rigid beliefs, resistance to new information, poor decision-making, and a lack of critical thinking. Understanding the causes of this intellectual stagnation is essential to developing solutions that promote higher-order thinking, rational decision-making, and (...)
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  23. Implicit Bias as Mental Imagery.Bence Nanay - 2021 - Journal of the American Philosophical Association 7 (3):329-347.
    What is the mental representation that is responsible for implicit bias? What is this representation that mediates between the trigger and the biased behavior? My claim is that this representation is neither a propositional attitude nor a mere association. Rather, it is mental imagery: perceptual processing that is not directly triggered by sensory input. I argue that this view captures the advantages of the two standard accounts without inheriting their disadvantages. Further, this view also explains why manipulating mental imagery (...)
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  24. Prestige Bias: An Obstacle to a Just Academic Philosophy.Helen De Cruz - 2018 - Ergo: An Open Access Journal of Philosophy 5.
    This paper examines the role of prestige bias in shaping academic philosophy, with a focus on its demographics. I argue that prestige bias exacerbates the structural underrepresentation of minorities in philosophy. It works as a filter against (among others) philosophers of color, women philosophers, and philosophers of low socio-economic status. As a consequence of prestige bias our judgments of philosophical quality become distorted. I outline ways in which prestige bias in philosophy can be mitigated.
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  25. Is future bias a manifestation of the temporal value asymmetry?Eugene Caruso, Andrew J. Latham & Kristie Miller - forthcoming - Philosophical Psychology.
    Future-bias is the preference, all else being equal, for positive states of affairs to be located in the future not the past, and for negative states of affairs to be located in the past not the future. Three explanations for future-bias have been posited: the temporal metaphysics explanation, the practical irrelevance explanation, and the three mechanisms explanation. Understanding what explains future-bias is important not only for better understanding the phenomenon itself, but also because many philosophers think that (...)
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  26. Future bias in action: does the past matter more when you can affect it?Andrew J. Latham, Kristie Miller, James Norton & Christian Tarsney - 2020 - Synthese 198 (12):11327-11349.
    Philosophers have long noted, and empirical psychology has lately confirmed, that most people are “biased toward the future”: we prefer to have positive experiences in the future, and negative experiences in the past. At least two explanations have been offered for this bias: belief in temporal passage and the practical irrelevance of the past resulting from our inability to influence past events. We set out to test the latter explanation. In a large survey, we find that participants exhibit significantly (...)
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  27. Bias towards the future.Preston Greene, Andrew J. Latham, Kristie Miller, James Norton, Christian Tarsney & Hannah Tierney - 2022 - Philosophy Compass 17 (8):1–11.
    All else being equal, most of us typically prefer to have positive experiences in the future rather than the past and negative experiences in the past rather than the future. Recent empirical evidence tends not only to support the idea that people have these preferences, but further, that people tend to prefer more painful experiences in their past rather than fewer in their future (and mutatis mutandis for pleasant experiences). Are such preferences rationally permissible, or are they, as time-neutralists contend, (...)
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  28. Bias and Knowledge: Two Metaphors.Erin Beeghly - 2020 - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind. New York, NY, USA: Routledge. pp. 77-98.
    If you care about securing knowledge, what is wrong with being biased? Often it is said that we are less accurate and reliable knowers due to implicit biases. Likewise, many people think that biases reflect inaccurate claims about groups, are based on limited experience, and are insensitive to evidence. Chapter 3 investigates objections such as these with the help of two popular metaphors: bias as fog and bias as shortcut. Guiding readers through these metaphors, I argue that they (...)
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  29. Bias and Perception.Susanna Siegel - 2020 - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind. New York, NY, USA: Routledge. pp. 99-115.
    chapter on perception and bias including implicit bias.
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  30. Implicit Bias, Moods, and Moral Responsibility.Alex Madva - 2017 - Pacific Philosophical Quarterly 99 (S1):53-78.
    Are individuals morally responsible for their implicit biases? One reason to think not is that implicit biases are often advertised as unconscious, ‘introspectively inaccessible’ attitudes. However, recent empirical evidence consistently suggests that individuals are aware of their implicit biases, although often in partial and inarticulate ways. Here I explore the implications of this evidence of partial awareness for individuals’ moral responsibility. First, I argue that responsibility comes in degrees. Second, I argue that individuals’ partial awareness of their implicit biases makes (...)
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  31. (1 other version)Implicit Bias, Character and Control.Jules Holroyd & Daniel Kelly - 2016 - In Alberto Masala & Jonathan Webber (eds.), From Personality to Virtue: Essays on the Philosophy of Character. Oxford: Oxford University Press UK. pp. 106-133.
    Our focus here is on whether, when influenced by implicit biases, those behavioural dispositions should be understood as being a part of that person’s character: whether they are part of the agent that can be morally evaluated.[4] We frame this issue in terms of control. If a state, process, or behaviour is not something that the agent can, in the relevant sense, control, then it is not something that counts as part of her character. A number of theorists have argued (...)
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  32. IMPLICIT BIAS, STEREOTYPE THREAT, AND POLITICAL CORRECTNESS IN PHILOSOPHY.Sean Allen-Hermanson - 2017 - Philosophies 2 (2).
    This paper offers an unorthodox appraisal of empirical research bearing on the question of the low representation of women in philosophy. It contends that fashionable views in the profession concerning implicit bias and stereotype threat are weakly supported, that philosophers often fail to report the empirical work responsibly, and that the standards for evidence are set very low—so long as you take a certain viewpoint.
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  33. A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers.Gabriela Arriagada-Bruneau, Claudia López & Alexandra Davidoff - 2024 - Science and Engineering Ethics 31 (1):1-29.
    We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identify, map, and relate biases across the AI development process. This approach addresses the limitations of what we call the "isolationist approach to AI bias," a trend in AI literature where biases are seen as separate occurrence linked to specific stages in an AI pipeline. Dealing with these multiple biases can trigger a sense of excessive overload in managing each potential bias individually (...)
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  34. Implicit bias, ideological bias, and epistemic risks in philosophy.Uwe Peters - 2018 - Mind and Language 34 (3):393-419.
    It has been argued that implicit biases are operative in philosophy and lead to significant epistemic costs in the field. Philosophers working on this issue have focussed mainly on implicit gender and race biases. They have overlooked ideological bias, which targets political orientations. Psychologists have found ideological bias in their field and have argued that it has negative epistemic effects on scientific research. I relate this debate to the field of philosophy and argue that if, as some studies (...)
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  35. Generalization Bias in Science.Uwe Peters, Alexander Krauss & Oliver Braganza - 2022 - Cognitive Science 46 (9):e13188.
    Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, (...)
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  36. Future Bias and Regret.Sayid Bnefsi - 2023 - In David Jakobsen, Peter Øhrstrøm & Per Hasle (eds.), Logic and Philosophy of Time: The History and Philosophy of Tense-Logic. Aalborg: Aalborg University Press. pp. 1-13.
    The rationality of future bias figures crucially in various metaphysical and ethical arguments (Prior 1959; Parfit 1984; Fischer 2019). Recently, however, philosophers have raised several arguments to the effect that future bias is irrational (Dougherty 2011; Suhler and Callender 2012; Greene and Sullivan 2015). Particularly, Greene and Sullivan (2015) claim that future bias is irrational because future bias leads to two kinds of irrational planning behaviors in agents who also seek to avoid regret. In this paper, (...)
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  37. Future Bias and Presentism.Sayid Bnefsi - 2020 - In Per Hasle, David Jakobsen & Peter Ohstrom (eds.), The Metaphysics of Time: Themes on Prior. Aalborg University Press. pp. 281-297.
    Future-biased agents care not only about what experiences they have, but also when they have them. Many believe that A-theories of time justify future bias. Although presentism is an A-theory of time, some argue that it nevertheless negates the justification for future bias. Here, I claim that the alleged discrepancy between presentism and future bias is a special case of the cross-time relations problem. To resolve the discrepancy, I propose an account of future bias as a (...)
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  38. Implicit Bias and Qualiefs.Martina Fürst - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy:1-34.
    In analyzing implicit bias, one key issue is to clarify its metaphysical nature. In this paper, I develop a novel account of implicit bias by highlighting a particular kind of belief-like state that is partly constituted by phenomenal experiences. I call these states ‘qualiefs’ for three reasons: qualiefs draw upon qualitative experiences of what an object seems like to attribute a property to this very object, they share some of the distinctive features of proper beliefs, and they also (...)
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  39. Confirmation bias without rhyme or reason.Matthias Michel & Megan A. K. Peters - 2020 - Synthese 199 (1-2):2757-2772.
    Having a confirmation bias sometimes leads us to hold inaccurate beliefs. So, the puzzle goes: why do we have it? According to the influential argumentative theory of reasoning, confirmation bias emerges because the primary function of reason is not to form accurate beliefs, but to convince others that we’re right. A crucial prediction of the theory, then, is that confirmation bias should be found only in the reasoning domain. In this article, we argue that there is evidence (...)
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  40. Social Media and its Negative Impacts on Autonomy.Siavosh Sahebi & Paul Formosa - 2022 - Philosophy and Technology 35 (3):1-24.
    How social media impacts the autonomy of its users is a topic of increasing focus. However, much of the literature that explores these impacts fails to engage in depth with the philosophical literature on autonomy. This has resulted in a failure to consider the full range of impacts that social media might have on autonomy. A deeper consideration of these impacts is thus needed, given the importance of both autonomy as a moral concept and social media as (...)
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  41. Agency, Experience, and Future Bias.Antti Kauppinen - 2018 - Thought: A Journal of Philosophy 7 (4):237-245.
    Most of us are hedonically future-biased: other things being equal, we prefer pains to be in the past and pleasures to be in the future. Recently, various authors have argued that future bias is irrational, and that we should be temporally neutral instead. I argue that instead of temporal neutrality, the putative counterexamples and the rationales offered for them only motivate a more narrow principle I call Only Action Fixes Utility: it is only when you act on the basis (...)
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  42. Implicit Bias, Character and Control.Jules Holroyd & Daniel Kelly - 2016 - In Alberto Masala & Jonathan Webber (eds.), From Personality to Virtue: Essays on the Philosophy of Character. Oxford: Oxford University Press UK.
    Our focus here is on whether, when influenced by implicit biases, those behavioural dispositions should be understood as being a part of that person’s character: whether they are part of the agent that can be morally evaluated.[4] We frame this issue in terms of control. If a state, process, or behaviour is not something that the agent can, in the relevant sense, control, then it is not something that counts as part of her character. A number of theorists have argued (...)
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  43. Algorithmic Bias and Risk Assessments: Lessons from Practice.Ali Hasan, Shea Brown, Jovana Davidovic, Benjamin Lange & Mitt Regan - 2022 - Digital Society 1 (1):1-15.
    In this paper, we distinguish between different sorts of assessments of algorithmic systems, describe our process of assessing such systems for ethical risk, and share some key challenges and lessons for future algorithm assessments and audits. Given the distinctive nature and function of a third-party audit, and the uncertain and shifting regulatory landscape, we suggest that second-party assessments are currently the primary mechanisms for analyzing the social impacts of systems that incorporate artificial intelligence. We then discuss two kinds of as-sessments: (...)
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  44. Understanding Implicit Bias: Putting the Criticism into Perspective.Michael Brownstein, Alex Madva & Bertram Gawronski - 2020 - Pacific Philosophical Quarterly 101 (2):276-307.
    What is the status of research on implicit bias? In light of meta‐analyses revealing ostensibly low average correlations between implicit measures and behavior, as well as various other psychometric concerns, criticism has become ubiquitous. We argue that while there are significant challenges and ample room for improvement, research on the causes, psychological properties, and behavioral effects of implicit bias continues to deserve a role in the sciences of the mind as well as in efforts to understand, and ultimately (...)
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  45. Social Media studies.Vijaya Abhinandan - manuscript
    Social media sites offer a huge data about our everyday life, thoughts, feelings and reflecting what the users want and like. Since user behavior on OSNS is a mirror image of actions in the real world, scholars have to investigate the use SM to prediction, making forecasts about our daily life. This paper provide an overview of different commonly used social media and application of their data analysis.
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  46. Implicit Bias and the Idealized Rational Self.Nora Berenstain - 2018 - Ergo: An Open Access Journal of Philosophy 5:445-485.
    The underrepresentation of women, people of color, and especially women of color—and the corresponding overrepresentation of white men—is more pronounced in philosophy than in many of the sciences. I suggest that part of the explanation for this lies in the role played by the idealized rational self, a concept that is relatively influential in philosophy but rarely employed in the sciences. The idealized rational self models the mind as consistent, unified, rationally transcendent, and introspectively transparent. I hypothesize that acceptance of (...)
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  47. Social media disinformation and the security threat to democratic legitimacy.Regina Rini - 2019 - NATO Association of Canada: Disinformation and Digital Democracies in the 21st Century:10-14.
    This short piece draws on political philosophy to show how social media interference operations can be used by hostile states to weaken the apparent legitimacy of democratic governments. Democratic societies are particularly vulnerable to this form of attack because democratic governments depend for their legitimacy on citizens' trust in one another. But when citizen see one another as complicit in the distribution of deceptive content, they lose confidence in the epistemic preconditions for democracy. The piece concludes with policy recommendations (...)
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  48. Why future-bias isn't rationally evaluable.Callie K. Phillips - 2021 - Res Philosophica 98 (4):573-596.
    Future-bias is preferring some lesser future good to a greater past good because it is in the future, or preferring some greater past pain to some lesser future pain because it is in the past. Most of us think that this bias is rational. I argue that no agents have future-biased preferences that are rationally evaluable—that is, evaluable as rational or irrational. Given certain plausible assumptions about rational evaluability, either we must find a new conception of future-bias (...)
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  49. Cultural Bias in Explainable AI Research.Uwe Peters & Mary Carman - forthcoming - Journal of Artificial Intelligence Research.
    For synergistic interactions between humans and artificial intelligence (AI) systems, AI outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly tested in human user studies. However, whether XAI researchers consider potential cultural differences in human explanatory needs remains unexplored. We highlight psychological research that found significant differences in human explanations between many people from Western, commonly individualist countries and people from non-Western, often collectivist countries. We argue that XAI research currently overlooks these variations and that (...)
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  50. Ameliorating Algorithmic Bias, or Why Explainable AI Needs Feminist Philosophy.Linus Ta-Lun Huang, Hsiang-Yun Chen, Ying-Tung Lin, Tsung-Ren Huang & Tzu-Wei Hung - 2022 - Feminist Philosophy Quarterly 8 (3).
    Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainable artificial intelligence (XAI) is a recent development aiming to make an AI system’s decision processes less opaque and to expose its problematic biases. This paper argues against technical XAI, according to which the detection and interpretation of algorithmic bias can be (...)
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