Presents a theory of bullshit, how it differs from lying, how those who engage in it change the rules of conversation, and how indulgence in bullshit can alter a person's ability to tell the truth.

Did you know that Hillary Clinton sold weapons to ISIS? Or that Mike Pence called Michelle Obama “the most vulgar First Lady we’ve ever had”? No, you didn’t know these things. You couldn’t know them, because these claims are false.1 But many American voters believed them.One of the most distinctive features of the 2016 campaign was the rise of “fake news,” factually false claims circulated on social media, usually via channels of partisan camaraderie. Media analysts and social scientists are still (...) debating what role fake news played in Trump’s victory.2 But whether or not it drove the outcome, fake news certainly affected the choices of some individual voters.Why were people willing to believe easily... (shrink)

Since 2016, there has been an explosion of academic work and journalism that fixes its subject matter using the terms ‘fake news’ and ‘post-truth’. In this paper, I argue that this terminology is not up to scratch, and that academics and journalists ought to completely stop using the terms ‘fake news’ and ‘post-truth’. I set out three arguments for abandonment. First, that ‘fake news’ and ‘post-truth’ do not have stable public meanings, entailing that they are either nonsense, context-sensitive, or contested. (...) Secondly, that these terms are unnecessary, because we already have a rich vocabulary for thinking about epistemic dysfunction. Thirdly, I observe that ‘fake news’ and ‘post-truth’ have propagandistic uses, meaning that using them legitimates anti-democratic propaganda, and runs the risk of smuggling bad ideology into conversations. (shrink)

Self-deception raises complex questions about the nature of belief and the structure of the human mind. In this book, Alfred Mele addresses four of the most critical of these questions: What is it to deceive oneself? How do we deceive ourselves? Why do we deceive ourselves? Is self-deception really possible? -/- Drawing on cutting-edge empirical research on everyday reasoning and biases, Mele takes issue with commonplace attempts to equate the processes of self-deception with those of stereotypical interpersonal deception. Such attempts, (...) he demonstrates, are fundamentally misguided, particularly in the assumption that self-deception is intentional. In their place, Mele proposes a compelling, empirically informed account of the motivational causes of biased beliefs. At the heart of this theory is an appreciation of how emotion and motivation may, without our knowing it, bias our assessment of evidence for beliefs. Highlighting motivation and emotion, Mele develops a pair of approaches for explaining the two forms of self-deception: the "straight" form, in which we believe what we want to be true, and the "twisted" form, in which we believe what we wish to be false. -/- Underlying Mele's work is an abiding interest in understanding and explaining the behavior of real human beings. The result is a comprehensive, elegant, empirically grounded theory of everyday self-deception that should engage philosophers and social scientists alike. (shrink)

Humans massively depend on communication with others, but this leaves them open to the risk of being accidentally or intentionally misinformed. To ensure that, despite this risk, communication remains advantageous, humans have, we claim, a suite of cognitive mechanisms for epistemic vigilance. Here we outline this claim and consider some of the ways in which epistemic vigilance works in mental and social life by surveying issues, research and theories in different domains of philosophy, linguistics, cognitive psychology and the social sciences.

Despite being a new term, ‘fake news’ has evolved rapidly. This paper argues that it should be reserved for cases of deliberate presentation of false or misleading claims as news, where these are misleading by design. The phrase ‘by design’ here refers to systemic features of the design of the sources and channels by which fake news propagates and, thereby, manipulates the audience’s cognitive processes. This prospective definition is then tested: first, by contrasting fake news with other forms of public (...) disinformation; second, by considering whether it helps pinpoint conditions for the proliferation of fake news. (shrink)

What are conspiracy theories? And what, if anything, is epistemically wrong with them? I offer an account on which conspiracy theories are a unique way of holding a belief in a conspiracy. Specifically, I take conspiracy theories to be self-insulating beliefs in conspiracies. On this view, conspiracy theorists have their conspiratorial beliefs in a way that is immune to revision by counter-evidence. I argue that conspiracy theories are always irrational. Although conspiracy theories involve an expectation to encounter some seemingly disconfirming (...) evidence (allegedly planted by the conspirators), resistance to all counter- evidence cannot be justified on these grounds. (shrink)

An important way in which philosophy can contribute to public discourse is by clarifying concepts that are central to it. This paper is a philosophical contribution in that spirit. It offers an account of fake news—a notion that has entered public debate following the 2016 US presidential election. On the view I defend, fake news is Frankfurtian bullshit that is asserted in the form of a news publication. According to Frankfurt’s famous account, bullshit has two characteristics. There is, firstly, an (...) “indifference to how things really are” on the part of the bullshitter. This does not mean that what a bullshitter says is always false. It might well be true. What it does mean, however, is that, unlike a liar, who tries to convince us that a given statement he believes to be false is true, a bullshitter simply does not care whether what he says is true. The same, I believe, is true of the publisher of fake news. Secondly, the bullshitter misrepresents “in a certain way … what he is up to”. Likewise, the publisher of fake news seems to misrepresent what he is up to. It appears that he wants to hide his actual motives. At any rate, so I will argue. (shrink)

Recently, the term «fake news» has become ubiquitous in political and public discourse and the media. Despite its omnipresence, however, it is anything but clear what fake news is. An adequate and comprehensive definition of fake news is called for. We take steps towards this goal by providing a systematic account of fake news that makes the phenomenon tangible, rehabilitates the use of the term, and helps us to set fake news apart from related phenomena. (You can email us for (...) a penultimate draft of this paper.). (shrink)

People feel they understand complex phenomena with far greater precision, coherence, and depth than they really do; they are subject to an illusion—an illusion of explanatory depth. The illusion is far stronger for explanatory knowledge than many other kinds of knowledge, such as that for facts, procedures or narratives. The illusion for explanatory knowledge is most robust where the environment supports real‐time explanations with visible mechanisms. We demonstrate the illusion of depth with explanatory knowledge in Studies 1–6. Then we show (...) differences in overconfidence about knowledge across different knowledge domains in Studies 7–10. Finally, we explore the mechanisms behind the initial confidence and behind overconfidence in Studies 11 and 12, and discuss the implications of our findings for the roles of intuitive theories in concepts and cognition. (shrink)

The term "fake news" ascended rapidly to prominence in 2016 and has become a fixture in academic and public discussions, as well as in political mud-slinging. In the flurry of discussion, the term has been applied so broadly as to threaten to render it meaningless. In an effort to rescue our ability to discuss—and combat—the underlying phenomenon that triggered the present use of the term, some philosophers have tried to characterize it more precisely. A common theme in this nascent philosophical (...) discussion is that contemporary fake news is not a new kind of phenomenon, but just the latest iteration of a broader kind of phenomenon that has played out in different ways across the history of human information-dissemination technologies. While we agree with this, we argue that newer sorts of fake news reveal substantial flaws in earlier understandings of this notion. In particular, we argue that no deceptive intentions are necessary for fake news to arise; rather, fake news arises when stories which were not produced via standard journalistic practice are treated as though they had been. Importantly, this revisionary understanding of fake news allows us to accommodate and understand the way that fake news is plausibly generated and spread in a contemporary setting, as much by non-human actors as by ordinary human beings. (shrink)

This paper focuses on extant approaches to counteract the consumption of fake news online. Proponents of structural approaches suggest that our proneness to consuming fake news could only be reduced by reshaping the architecture of online environments. Proponents of educational approaches suggest that fake news consumers should be empowered to improve their epistemic agency. In this paper, we address a question that is relevant to this debate: namely, whether fake news consumers commit mistakes for which they can be criticized and (...) that they could easily avoid by reforming their doxastic conduct. Proponents of structural approaches, like R. Rini and B. Millar, have defended in different ways a negative answer to this question. In this paper, we criticize their views and suggest that individual users could improve on their epistemic practice by widening their information diet. (shrink)

Why do people share or publicly engage with fake stories? Two possible answers come to mind: (a) people are deeply irrational and believe these stories to be true; or (b) they intend to deceive their audience. Both answers presuppose the idea that people put the stories forward as true. But I argue that in some cases, these outlandish (yet also very popular) stories function as signals of one's group membership. This signaling function can make better sense of why, despite their (...) unusual nature or lack of a factual basis, some of these stories are so widespread. (shrink)

Thanks to the advent of social media, large numbers of Americans believe outlandish falsehoods that have been widely debunked. Many of us have a tendency to fault the individuals who hold such beliefs. We naturally assume that the individuals who form and maintain such beliefs do so in virtue of having violated some epistemic obligation: perhaps they failed to scrutinize their sources, or failed to seek out the available competing evidence. I maintain that very many ordinary individuals who acquire outlandish (...) false beliefs thanks to their use of popular social media platforms (and other similar internet technologies) deserve little or no blame for believing these falsehoods. Such individuals would be fully blameworthy only if they had formed or maintained the relevant beliefs partly in virtue of violating some epistemic obligation and had no excuse for violating that obligation. However, the nature of these internet technologies provides excuses for violating the relevant epistemic obligations, and so individuals are excused for holding the resulting false beliefs. (shrink)

There is worldwide concern over false news and the possibility that it can influence political, economic, and social well-being. To understand how false news spreads, Vosoughi et al. used a data set of rumor cascades on Twitter from 2006 to 2017. About 126,000 rumors were spread by ∼3 million people. False news reached more people than the truth; the top 1 of false news cascades diffused to between 1000 and 100,000 people, whereas the truth rarely diffused to more than 1000 (...) people. Falsehood also diffused faster than the truth. The degree of novelty and the emotional reactions of recipients may be responsible for the differences observed. Science, this issue p. 1146 A large-scale analysis of tweets reveals that false rumors spread further and faster than the truth. We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise ~126,000 stories tweeted by ~3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98 agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it. (shrink)

Fake news can originate from an ordinary person carelessly posting what turns out to be false information or from the intentional actions of fake news factory workers, but broadly speaking it can also originate from scientific fraud. In the latter case, the article can be retracted upon discovery of the fraud. A case study shows, however, that such fake science can be visible in Google even after the article was retracted, in fact more visible than the retraction notice. We hypothesize (...) that the reason for this lies in the popularity-based logic governing Google, in particular its foundational PageRank algorithm, in conjunction with a psychological law which we refer to as the “law of retraction”: a retraction notice is typically taken to be less interesting and therefore less popular with internet users than the original content retracted. We conduct an empirical study drawing on records of articles retracted due to fraud in the Retraction Watch public database. The study tests the extent to which such retracted scientific articles are still highly ranked in Google –and more so than information about the retraction. We find, among other things, that both Google Search and Google Scholar more often than not ranked a link to the original article higher than a link indicating that the article has been retracted. Surprisingly, Google Scholar did not perform better in this regard than Google Search.We also found cases in which Google did not track the retraction of an article on the first result page at all. We conclude that both Google Search and Google Scholar run the risk of disseminating fake science through their ranking algorithms. (shrink)