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)

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In the age of the Internet, people have increased access to information along multiple dimensions. It might seem that we are on our way to an epistemic utopia in which we spend less time and effort on basic cognitive tasks while devoting more time and effort to complex deliberation. However, though there are many accurate sources on the Internet, they must be sifted from the spammers, concern trolls, practical jokers, conspiracy theorists, counterintelligence sock-puppets, and outright liars who also proliferate online. (...) We can approach this problem via the individual or via the network, asking two questions. First, holding the topology of the network constant, which moral and epistemic dispositions are conducive to successful inquiry by nodes at different positions within it? Second, holding the distribution of people’s epistemic dispositions constant, which network topologies are more likely to produce epistemic goods and avoid epistemic ills? To answer these questions, we need to combine virtue-theoretic reflection on individual dispositions with a nuanced understanding of the dynamics of networks. In this paper, I highlight and explore some important properties of such networks and connect those properties with dispositions that make someone an excellent member of an epistemic network. (shrink)

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This entry introduces many of the most important results of the contemporary Virtue epistemology (hereafter 'VE') research program. These include novel attempts to resolve longstanding disputes, solve perennial problems, grapple with novel challenges, and expand epistemology’s horizons. In the process, it reveals the diversity within VE. Beyond sharing the two unifying commitments mentioned above, its practitioners diverge over the nature of intellectual virtues, which questions to ask, and which methods to use.

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In this paper, we explore some of the social factors that lead people to hold bad beliefs, i.e. beliefs contradicted by clear, strong evidence. First, we critically discuss a recent proposal by Emily Sullivan and colleagues, in which they analyze an individual’s epistemic position within a network based on the number, independence, and diversity of their information sources. Second, we contend that an individual's epistemic position within a network on a topic, _t_, should instead be defined in terms of (i) (...) the reliability of their trusted sources on _t_ and (ii) the reliability of their higher-order informants in tracking reliable sources on _t_. We further argue that, at least regarding topics related to one's social or political identity, people often rely on strong-tie contacts (close friends or relatives) as higher-order informants on factual matters. This reliance can, in turn, have the unfortunate consequence of making individuals more vulnerable to bad beliefs. Finally, we discuss different strategies for improving agents’ epistemic positions within a network, inspired by recent work on the sociology of strong ties by Damon Centola and colleagues. (shrink)

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