Fake news has become an important topic of research in a variety of disciplines including linguistics and computer science. In this paper, we explain how the problem is approached from the perspective of natural language processing, with the goal of building a system to automatically detect misinformation in news. The main challenge in this line of research is collecting quality data, i.e., instances of fake and real news articles on a balanced distribution of topics. We review available datasets and introduce (...) the MisInfoText repository as a contribution of our lab to the community. We make available the full text of the news articles, together with veracity labels previously assigned based on manual assessment of the articles’ truth content. We also perform a topic modelling experiment to elaborate on the gaps and sources of imbalance in currently available datasets to guide future efforts. We appeal to the community to collect more data and to make it available for research purposes. (shrink)

The use of machine learning, or “artificial intelligence” (AI) in medicine is widespread and growing. In this paper, I focus on a specific proposed clinical application of AI: using models to predict incapacitated patients’ treatment preferences. Drawing on results from machine learning, I argue this proposal faces a special moral problem. Machine learning researchers owe us assurance on this front before experimental research can proceed. In my conclusion I connect this concern to broader issues in AI safety.

1. False information takes many shapes. While misinformation has long been a feature of conveying the human experience to others, the rise of the internet and social media has created conditions in...

The 2007 publication of Miranda Fricker’s celebrated book Epistemic Injustice: Power and the Ethics of Knowing gave way to a burgeoning area of study in philosophy of education. The book’s arguments create a context for expanding the scope of work on epistemic issues in education by moving beyond direct explorations of the distribution of epistemic goods and the role of power in curriculum development. Since that time, the rich scholarship on epistemic injustice in philosophy of education examines a variety of (...) topics, including the impact of epistemic injustice on the experiences of teachers and learners more broadly (focussing mostly on students who are marginalized along lines of race, gender, class, and ability, amongst others) and the implications of epistemic injustice for educational research, policy, and practice. This special issue extends this line of work by compiling a set of articles that address a broad range of topics, some of which are well established in the literature and some of which open new lines of inquiry in the field. In doing so, the issue aims to establish the intersection of epistemic injustice and education as a distinct area of study that holds great significance and potential. In this paper, A. C. Nikolaidis and Winston C. Thompson introduce the issue by discussing these contributions, explaining why education is central to the study of epistemic injustice (and vice versa), and exploring the complex nature of epistemic injustice and education as revealed in the articles that comprise this collection—namely, education’s simultaneous complicity as a perpetrator and promise as a disruptor of epistemic injustice. (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)

Largely thanks to Mill’s influence, the suggestion that the state ought to restrict the distribution of misinformation will strike most philosophers as implausible. Two of Mill’s influential assumptions are particularly relevant here: first, that free speech debates should focus on moral considerations such as the harm that certain forms of expression might cause; second, that false information causes minimal harm due to the fact that human beings are psychologically well equipped to distinguish truth and falsehood. However, in addition to our (...) moral obligations, we also have a distinct set of epistemic obligations—and even when a false belief doesn’t harm anyone, it constitutes an epistemically bad outcome. Moreover, Mill was profoundly mistaken about human psychology: human beings are vulnerable to the influence of a wide variety of false claims via a wide variety of psychological mechanisms. Consequently, there is a purely epistemic justification for restricting the distribution of misinformation: because each of us has an individual epistemic obligation to avoid unnecessary exposure to misinformation, and because avoiding such exposure is simply too difficult when acting alone, we all have a shared epistemic obligation to establish laws or regulations restricting the widespread distribution of misinformation. (shrink)

Fake news is a scourge within modern society, brought about by foreign powers amplifying messages throughout the recently constructed echo chambers of social media and exacerbated by the lack of co...

There is growing worldwide concern that the rampant spread of digital fake news via new media technologies is detrimentally impacting Democratic elections. However, the actual influence of this recent Internet phenomenon on electoral decisions has not been directly examined. Accordingly, this study tested the effects of attention to DFN on readers’ Presidential candidate preferences via an experimental web-survey administered to a cross-sectional American sample. Results showed no main effect of exposure to DFN on participants’ candidate evaluations or vote choice. However, (...) the perceived believability of DFN about the Democratic candidate negatively mediated evaluations of that candidate—especially amongst far-right ideologues. These results suggest that DFN may at worst reinforce the partisan dispositions of mostly politically conservative Internet users, but does not cause or induce conversions in these dispositions. Overall, this study contributes novel experimental evidence, indicating that the potential electoral impact of DFN, although concerning, is strongly conditional on a reciprocal interaction between message receptibility and a pre-existing right-wing ideological orientation. The said impact is, therefore, likely narrow in scope. (shrink)

In matters of governance, is believing subject to ethical standards? If so, what are the criteria how relevant are they in our personal and political culture today? The really important matters in politics and governance necessitate a confidence that our beliefs will lead dependably to predictable and verifiable outcomes. Accordingly, it is unethical to hold a belief that is founded on insufficient evidence or based on hearsay or blind acceptance. In this paper, we demonstrate that the pragmatist concept of truth (...) best meets this standard for ethically held belief in matters of politics and governance. Currently, these standards are abused by the gaslighting and distortion characteristics of the often social media driven ‘misinformation society’. The legitimacy and trust in our institutions and leadership that is requisite for good governance is challenged thereby, threatening the viability of our republic. (shrink)

Epistemic akrasia is the phenomenon of voluntarily believing what you think you should not. Whether epistemic akrasia is possible is a matter of controversy. I argue that at least some people who suffer from obsessive–compulsive disorder are genuinely epistemically akratic. I advance an account of epistemic akrasia that explains the clinical data and provides broader insight into the nature of doxastic attitude‐formation.

Levy (2021 Levy, N. (2021). Bad beliefs: Why they happen to good people. Oxford University Press.[Crossref], [Google Scholar]) argues that bad beliefs predominately stem from automatic (albeit rational) updating in response to testimonial evidence. To counteract such beliefs, then, we should focus on ridding our epistemic environments of misleading testimony. This paper responds as follows. First, I argue that the suite of automatic processes related to bad beliefs extends well beyond the deference-based processes that Levy identifies. Second, I push back (...) against Levy’s claim that bad beliefs stem from wholly rational processes, suggesting that, in many cases, such processes are better characterized as arational. Finally, I note that Levy is too quick to dismiss the role that individuals can play in cleaning up their own epistemic environments, and I suggest one route through which this is possible. (shrink)

For decades, technologies that ease information sharing (e.g., the wireless telegraph; Mckernon, 1925) have inspired concerns about the proliferation of misinformation. Today, these worries often c...

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)

The issue of how best to combat the negative impacts of misinformation distributed via social media hangs on the following question: are there methods that most individuals can reasonably be expected to employ that would largely protect them from the negative impact that encountering misinformation on social media would otherwise have on their beliefs? If the answer is “yes,” then presumably individuals bear significant responsibility for those negative impacts; and, further, presumably there are feasible educational remedies for the problem of (...) misinformation. However, I argue that the answer is “no.” Accordingly, I maintain that individuals do not bear significant responsibility for the negative impacts at issue; and, further, I maintain that the only effective remedies for the problem of misinformation involve changing the information environment itself. (shrink)