The term disinformation is generally used to refer to information that is false and harmful, by contrast with misinformation (false but harmless) and malinformation (harmful but true); disinformation is also generally understood to involve coordination and to be intentionally false and/or harmful. However, particular studies rarely apply all these criteria when discussing cases. Doing so would involve applying at least three distinct problem framings: an epistemic framing to detect that a proposition in circulation is false, a behavioural framing to detect (...) the coordinated efforts at communicating that proposition, and a security framing to identify threats or risks of harm attendant on widespread belief in the proposition. As for the question of intentionality, different kinds of clues can be picked up within each framing, although none alone is likely to be conclusive. Yet particular studies tend to centre on or prioritise a single framing. Many today aim to make policy recommendations about combatting disinformation, and they prioritise security concerns over the demands of epistemic diligence. This carries a real risk of disinformation research being ‘weaponised’ against inconvenient truths. Against combative approaches, this article argues for a critical approach which recognizes the importance of epistemic diligence and transparency about normative assumptions. (shrink)

This book argues that misinformation poses a multi-faceted threat to knowledge, while arguing that some forms of content moderation risk exacerbating these threats. It proposes alternative forms of content moderation that aim to address this complexity while enhancing human epistemic agency. The proliferation of fake news, false conspiracy theories, and other forms of misinformation on the internet and especially social media is widely recognized as a threat to individual knowledge and, consequently, to collective deliberation and democracy itself. This book argues (...) that misinformation presents a three-pronged threat to knowledge. While researchers often focus on the role of misinformation in causing false beliefs, this deceptive potential of misinformation exists alongside the potential to suppress trust and to distort the perception of evidence. Recognizing the multi-faceted nature of this threat is essential to the development of effective measures to mitigate the harms associated with misinformation. The book weaves together work in analytic epistemology with emerging empirical work in other disciplines to offer novel insights into the threats posed by misinformation. Additionally, it breaks new ground by systematically assessing different forms of content moderation from the perspective of epistemology. Misinformation, Content Moderation, and Epistemology will appeal to philosophers working in applied and social epistemology, as well as scholars and advanced students in disciplines such as communication studies, political science, and social psychology who are researching misinformation. (shrink)

Existing analyses of disinformation tend to embrace the view that disinformation is intended or otherwise functions to mislead its audience, that is, to produce false beliefs. I argue that this view is doubly mistaken. First, while paradigmatic disinformation campaigns aim to produce false beliefs in an audience, disinformation may in some cases be intended only to prevent its audience from forming true beliefs. Second, purveyors of disinformation need not intend to have any effect at all on their audience’s beliefs, aiming (...) instead to manipulate an audience’s behavior through alteration of sub-doxastic states. Ultimately, I argue that attention to such non-paradigmatic forms of disinformation is essential to understanding the threat disinformation poses and why this threat is so difficult to counter. (shrink)

Politics abounds with bad language: lying and bullshitting, grandstanding and virtue signaling, code words and dogwhistles, and more. But why is there so much bad language in politics? And what, if anything, can we do about it? In this paper I show how these two questions are connected. Politics is full of bad language because existing social and political institutions are structured in such a way that the production of bad language becomes rational. In principle, by modifying these institutions we (...) can reduce the prevalence of bad language. However, as I show, such practical efforts are fraught with difficulties. After first outlining an account of bad language (Section 1), I examine the rationality of three different types of bad language: inaccurate language, insincere language, and unclear language (Section 2). Next, I discuss the possibility of implementing institutional reforms to improve the quality of political discourse (Section 3). However, I then outline and discuss two serious complications for institutional reforms—namely, they create risk of abuse, and they could preclude instances of seemingly bad language that, in fact, are socially beneficial (Section 4). I conclude with some thoughts about how to pursue institutional reform in an appropriately circumspect manner (Section 5). (shrink)

ABSTRACT The rise of social media has correlated with an increase in political polarization, which many perceive as a threat to public discourse and democratic governance. This paper presents a framework, drawing on social epistemology and the economic theory of public goods, to explain how social media can contribute to polarization, making us collectively poorer, even while it provides a preferable media experience for individual consumers. Collective knowledge and consensus is best served by having richly connected networks that are epistemically (...) integrated: individuals with diverse levels of expertise should be relatively well connected to each other. In epistemically segregated networks, by contrast, we have reason to predict collective epistemic failures. Expert knowledge will be isolated from the majority, leading average opinion to be less informed than is socially optimal, and entrenching disagreements. Because social media enables users to very easily adopt homophilous network connections – connections to those with similar opinions, education levels, and social backgrounds – it is likely to have increased epistemic segregation compared to older media platforms. The paper explains the theoretical foundations of these predictions, and sketches regulatory measures – such as taxes – that might be employed to preserve the public good of a well integrated social media network. (shrink)

Politics is full of people who don't care about the facts. Still, while not caring about the facts, they are often concerned to present themselves as caring about them. Politics, in other words, is full of bullshitters. But why? In this paper I develop an incentives-based analysis of bullshit in politics, arguing that it is often a rational response to the incentives facing different groups of agents. In a slogan: bullshit in politics pays, sometimes literally. After first outlining an account (...) of bullshit, I discuss the incentives driving three different groups of agents to bullshit: politicians, the media, and voters. I then examine several existing proposals to combat bullshit in politics, arguing that each will fail because they ignore the relevant underlying incentives. I conclude somewhat pessimistically that a certain amount of bullshit in politics is inevitable. (shrink)

Since the Brexit Referendum in the United Kingdom and the election of Donald Trump as US President in 2016, the term ‘fake news’ has become a significant source of concern. Recently, the European Commission and the British House of Commons have condemned the phenomenon as a threat to their institutions’ democratic processes and values. However, political disinformation is nothing new, and empirical studies suggest that fake news has not decided crucial elections, that most readers do not believe the online fake (...) news stories they read, and that political polarization in Western democracies like the US began to increase long before online fake news existed. The question then is: how exactly does fake news threaten democracies? This paper argues that online fake news threatens democratic processes because it undermines citizens’ epistemic trust in each other. This in turn threatens to undermine the perceived legitimacy and the moral justification of democratic institutions as a whole. While online fake news is a symptom of a much larger issue (how has the Internet affected democracies, and how can we use its positive power while checking its negative effects?), it deserves particular attention given the potential danger it presents for the viability and the legitimacy of the democratic process. (shrink)