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  1. People, posts, and platforms: reducing the spread of online toxicity by contextualizing content and setting norms.Isaac Record & Boaz Miller - 2022 - Asian Journal of Philosophy 1 (2):1-19.
    We present a novel model of individual people, online posts, and media platforms to explain the online spread of epistemically toxic content such as fake news and suggest possible responses. We argue that a combination of technical features, such as the algorithmically curated feed structure, and social features, such as the absence of stable social-epistemic norms of posting and sharing in social media, is largely responsible for the unchecked spread of epistemically toxic content online. Sharing constitutes a distinctive communicative act, (...)
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  • Is Epistemic Autonomy Technologically Possible Within Social Media? A Socio-Epistemological Investigation of the Epistemic Opacity of Social Media Platforms.Margherita Mattioni - forthcoming - Topoi:1-14.
    This article aims to provide a coherent and comprehensive theoretical framework of the main socio-epistemic features of social media. The first part consists of a concise discussion of the main epistemic consequences of personalised information filtering, with a focus on echo chambers and their many different implications. The middle section instead hosts an analytical investigation of the cognitive and epistemic environments of these platforms aimed at establishing whether, and to what extent, they allow their users to be epistemically vigilant with (...)
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  • Learning from scams: the target of fake news.Maurizio Mascitti - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    Some scholars endorse the idea that a necessary condition for qualifying as fake news is being consumed by a minimum number of people. Call this requirement ‘the minimum audience condition’. I claim that each version of this condition is either incompatible with the damage that fake news does to our beliefs or unable to capture the case of outlandish fake stories. Drawing inspiration from an online scam, I then propose to distinguish the audience of fake news from its target. Lastly, (...)
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