We argue that the interaction of biased media coverage and widespread employment of the recognition heuristic can produce epistemic injustices. First, we explain the recognition heuristic as studied by Gerd Gigerenzer and colleagues, highlighting how some of its components are largely external to, and outside the control of, the cognitive agent. We then connect the recognition heuristic with recent work on the hypotheses of embedded, extended, and scaffolded cognition, arguing that the recognition heuristic is best understood as an instance of (...) scaffolded cognition. In section three, we consider the double-edged sword of cognitive scaffolding. On the one hand, scaffolds can reduce the internal processing demands on cognitive agents while increasing their access to information. On the other hand, the use of scaffolding leaves cognitive agents increasingly vulnerable to forming false beliefs or failing to form beliefs at all about particular topics. With respect to the recognition heuristic, agents rely on third parties (such as the media) to report not just what’s true but also what’s important or valuable. This makes cognitive agents relying on these third parties vulnerable to two erroneous influences: 1) because they don’t recognize something, it isn’t important or valuable, and 2) because they do recognize something, it is important or valuable. Call the latter the Kardashian Inference and the former the Darfur Inference. In section four, we use Fricker’s (2007) concept of epistemic injustice to characterize the nature and harm of these false inferences, with special emphasis on the Darfur Inference. In section five, we use data-mining and an empirical study to show how Gigerenzer’s population estimation task is liable to produce Darfur Inferences. We conclude with some speculative remarks on more important Darfur Inferences, and how to avoid them by scaffolding better. One primary way to accomplish this it to shift the burden of embodying the virtue of epistemic justice from the hearer or consumer of media to the media themselves. (shrink)

What is the basis for arguing that a volunteer army exploits citizens who lack civilian career opportunities? How do we determine that a doctor who has sex with his patients is exploiting them? In this book, Alan Wertheimer seeks to identify when a transaction or relationship can be properly regarded as exploitative--and not oppressive, manipulative, or morally deficient in some other way--and explores the moral weight of taking unfair advantage. Among the first political philosophers to examine this important topic from (...) a non-Marxist perspective, Wertheimer writes about ordinary experience in an accessible yet philosophically penetrating way. He considers whether it is seriously wrong for a party to exploit another if the transaction is consensual and mutually advantageous, whether society can justifiably prohibit people from entering into such a transaction, and whether it is wrong to allow oneself to be exploited. Wertheimer first considers several contexts commonly characterized as exploitive, including surrogate motherhood, unconscionable contracts, the exploitation of student athletes, and sexual exploitation in psychotherapy. In a section outlining his theory of exploitation, he sets forth the criteria for a fair transaction and the point at which we can properly say that a party has consented. Whereas many discussions of exploitation have dealt primarily with cases in which one party harms or coerces another, Wertheimer's book focuses on what makes a mutually advantageous and consensual transaction exploitive and analyzes the moral and legal implications of such exploitation. (shrink)

Conspiracy theories are often portrayed as unwarranted beliefs, typically supported by suspicious kinds of evidence. Yet contemporary work in Philosophy argues provisional belief in conspiracy theories is—at the very—least understandable (because conspiracies occur) and if we take an evidential approach—judging individual conspiracy theories on their particular merits—belief in such theories turns out to be warranted in a range of cases. Drawing on this work, I examine the kinds of evidence typically associated with conspiracy theories, showing that the evidential problems typically (...) associated with conspiracy theories are not unique to such theories. As such, if there is a problem with the conspiracy theorist’s use of evidence, it is one of principle: is the principle which guides their use of evidence somehow in error? I argue that whatever we might think about conspiracy theories generally, there is no prima facie case for a scepticism of conspiracy theories based purely on their use of evidence. (shrink)

Conspiracy theories are often portrayed as unwarranted beliefs, typically supported by suspicious kinds of evidence. Yet contemporary work in Philosophy argues provisional belief in conspiracy theories is at the very least understandable---because conspiracies occur---and that if we take an evidential approach, judging individual conspiracy theories on their particular merits, belief in such theories turns out to be warranted in a range of cases. -/- Drawing on this work, I examine the kinds of evidence typically associated with conspiracy theories, and show (...) how the so-called evidential problems with conspiracy theories are also problems for the kinds of evidence put forward in support of other theories. As such, if there is a problem with the conspiracy theorist's use of evidence, it is one of principle: is the principle which guides the conspiracy theorist's use of evidence somehow in error? I argue that whatever we might think about conspiracy theories generally, there is no prima facie case for a scepticism of conspiracy theories based purely on their use of evidence. (shrink)

Is exploitation always unjust? Is it by definition unjust? If we answer both these questions negatively, as I do, then we need to ask: when is exploitation unjust and when is it not? Exploitation is the use of a vulnerability for the exploiter's ends. This is sometimes morally wrong, even when it is not unjust. But it is unjust when it violates the exploited person's rightful freedom. When is labor for hire exploitative? Whenever the terms of the labor contract permit (...) either the employer or the employee to make use of the vulnerability of the other. But when is such exploitation unjust? When it involves the ownership by either of the conditions of life of the other, because then one is in a position of control over the other and deprives the other of a free mode of life. In capitalist wage labor, this is often the case—the employer, or a class to which the employer belongs, owns the conditions of life for the employed. When this is so, the employed do not have the free life which is basic to human rights. (shrink)

In this paper I offer an original account of intellectual modesty and some of its surrounding vices: intellectual haughtiness, arrogance, servility and self-abasement. I argue that these vices are attitudes as social psychologists understand the notion. I also draw some of the educational implications of the account. In particular, I urge caution about the efficacy of direct instruction about virtue and of stimulating emulation through exposure to positive exemplars.

For the past hundred years, mathematics, for its own reasons, has been shifting away from the study of “mathematical objects” and towards the study of “structures”. One would have expected philosophers to jump onto the bandwagon, as in many other cases, to proclaim that this shift is no accident, since mathematics is “essentially” about structures, not objects. In fact, structuralism has not been a very popular philosophy of mathematics, probably because of the hostility of Frege and other influential logicists, and (...) quasi-logicists like Quine. Recently, however, structuralism has finally penetrated the philosophical community and a number of “structuralist” volumes in the philosophy of mathematics have seen the light of day. Michael Resnik is one of the most distinguished representatives of this school, along with Stewart Shapiro, who has also recently published a structuralist tract. (shrink)

Sweatshop labor is often cited as an example of the worst and most pervasive form of exploitation today, yet understanding what is meant by the charge has proven surprisingly difficult for philosophers. I develop an account of what I call “Needs Exploitation,” grounded in a specification of the duty of beneficence. In the case of sweatshop labor, I argue that employers face a duty to extend to employees a wage sufficient to meet their basic needs. This duty is limited by (...) the degree of the employees’ dependence on the employer for basic needs and a reasonability standard where the employer may remain within a range of well-being between deficiency and luxury. (shrink)

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)

Human psychological mechanisms are adaptations that evolved to process environmental inputs, turning them into behavioral outputs that, on average, increase survival or reproductive prospects. Modern contexts, however, differ vastly from the environments that existed as human psychological mechanisms evolved. Many inputs now differ in quantity and intensity or no longer have the same fitness associations, thereby leading many mechanisms to produce maladaptive output. We present the precepts of this evolutionary mismatch process, highlight areas of mismatch, and consider implications for psychological (...) science and policy. (shrink)

Virtue epistemology is among the dominant influences in mainstream epistemology today. An important commitment of one strand of virtue epistemology – responsibilist virtue epistemology (e.g., Montmarquet 1993; Zagzebski 1996; Battaly 2006; Baehr 2011) – is that it must provide regulative normative guidance for good thinking. Recently, a number of virtue epistemologists (most notably Baehr, 2013) have held that virtue epistemology not only can provide regulative normative guidance, but moreover that we should reconceive the primary epistemic aim of all education as (...) the inculcation of the intellectual virtues. Baehr’s picture contrasts with another well-known position – that the primary aim of education is the promotion of critical thinking (Scheffler 1989; Siegel 1988; 1997; 2017). In this paper – that we hold makes a contribution to both philosophy of education and epistemology and, a fortiori, epistemology of education – we challenge this picture. We outline three criteria that any putative aim of education must meet and hold that it is the aim of critical thinking, rather than the aim of instilling intellectual virtue, that best meets these criteria. On this basis, we propose a new challenge for intellectual virtue epistemology, next to the well-known empirically-driven ‘situationist challenge’. What we call the ‘pedagogical challenge’ maintains that the intellectual virtues approach does not have available a suitably effective pedagogy to qualify the acquisition of intellectual virtue as the primary aim of education. This is because the pedagogic model of the intellectual virtues approach (borrowed largely from exemplarist thinking) is not properly action-guiding. Instead, we hold that, without much further development in virtue-based theory, logic and critical thinking must still play the primary role in the epistemology of education. (shrink)

Virtue epistemology is among the dominant influences in mainstream epistemology today. An important commitment of one strand of virtue epistemology – responsibilist virtue epistemology – is that it must provide regulative normative guidance for good thinking. Recently, a number of virtue epistemologists have held that virtue epistemology not only can provide regulative normative guidance, but moreover that we should reconceive the primary epistemic aim of all education as the inculcation of the intellectual virtues. Baehr’s picture contrasts with another well-known position (...) – that the primary aim of education is the promotion of critical thinking. In this paper – that we hold makes a contribution to both philosophy of education and epistemology and, a fortiori, epistemology of education – we challenge this picture. We outline three criteria that any putative aim of education must meet and hold that it is the aim of critical thinking, rather than the aim of instilling intellectual virtue, that best meets these criteria. On this basis, we propose a new challenge for intellectual virtue epistemology, next to the well-known empirically-driven ‘situationist challenge’. What we call the ‘pedagogical challenge’ maintains that the intellectual virtues approach does not have available a suitably effective pedagogy to qualify the acquisition of intellectual virtue as the primary aim of education. This is because the pedagogic model of the intellectual virtues approach is not properly action-guiding. Instead, we hold that, without much further development in virtue-based theory, logic and critical thinking must still play the primary role in the epistemology of education. (shrink)

This article examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines. In particular, it critically explores new forms of empiricism that declare ‘the end of theory’, the creation of data-driven rather than knowledge-driven science, and the development of digital humanities and computational social sciences that propose radically different ways to make sense of culture, (...) history, economy and society. It is argued that: Big Data and new data analytics are disruptive innovations which are reconfiguring in many instances how research is conducted; and there is an urgent need for wider critical reflection within the academy on the epistemological implications of the unfolding data revolution, a task that has barely begun to be tackled despite the rapid changes in research practices presently taking place. After critically reviewing emerging epistemological positions, it is contended that a potentially fruitful approach would be the development of a situated, reflexive and contextually nuanced epistemology. (shrink)

Ethics studies the evaluation of actions, agents and their mental states and characters from a distinctive viewpoint or employing a distinctive vocabulary. And epistemology examines the evaluation of actions (inquiries and assertions), agents (believers and inquirers), and their states (belief and attitudes) from a different viewpoint. Given this common concern with evaluation, we should surely expect there to be considerable similarities between the issues examined and the ideas employed in the two areas. However, when we examine most textbooks in ethics (...) and epistemology, this expectation is not fulfilled. Of course, the vocabularies of evaluation are different: in ethics, we are concerned with issues of right and wrong, virtue and vice, moral obligation, and so on; and in epistemology, it is most commonly assumed that we are interested in whether states count as knowledge or as justified beliefs, with whether beliefs and strategies of belief formation are rational. (shrink)

The amount of content, both on and offline, to which people in reasonably affluent nations have access has increased to the point that it has raised concerns that we are now suffering from a harmful condition of ‹information overload.’ Although the phrase is being used more frequently, the concept is not yet well understood – beyond expressing the rather basic idea of having access to more information than is good for us. This essay attempts to provide a philosophical explication of (...) the concept of information overload and is therefore what philosophers call ‹conceptual analysis’ – a task that, along with normative ethical analysis, is distinctive to Anglo-American style analytic philosophy. I will begin with an analysis of the atomic concepts expressed by the terms ‹information’ and ‹overload’ and then attempt to give a philosophical explanation of the concept of information overload that more precisely identifies exactly what the condition amounts to. (shrink)

The amount of content, both on and offline, to which people in reasonably affluent nations have access has increased to the point that it has raised concerns that we are now suffering from a harmful condition of ‹information overload.’ Although the phrase is being used more frequently, the concept is not yet well understood – beyond expressing the rather basic idea of having access to more information than is good for us. This essay attempts to provide a philosophical explication of (...) the concept of information overload and is therefore what philosophers call ‹conceptual analysis’ – a task that, along with normative ethical analysis, is distinctive to Anglo-American style analytic philosophy. I will begin with an analysis of the atomic concepts expressed by the terms ‹information’ and ‹overload’ and then attempt to give a philosophical explanation of the concept of information overload that more precisely identifies exactly what the condition amounts to. (shrink)

We argue that we should provide extra payment not only for extra time worked but also for the extra risks healthcare workers (and those working in healthcare settings) incur while caring for COVID‐19 patients—and more generally when caring for patients poses them at significantly higher risks than normal. We argue that the extra payment is warranted regardless of whether healthcare workers have a professional obligation to provide such risky healthcare. Payment for risk would meet four essential ethical requirements. First, assuming (...) healthcare workers do not have a professional obligation to take on themselves the risks, payments in the form of incentives would preserve autonomy in deciding what risks to take on oneself. Second, even assuming that healthcare workers do have a professional obligation to take on themselves the risks, payments for risk would create fair working conditions by avoiding exploitation. Third, payments for risk would make it more likely that public healthcare systems can discharge their institutional responsibility to provide healthcare in circumstances where healthcare workers may otherwise (perhaps legitimately) opt out. Fourth, payments for risk would guarantee an efficient healthcare system in pandemic situations. Finally, we address two likely objections that some might raise against our proposal, particularly with regard to incentives, namely that such payments or incentives can themselves be coercive and that they represent a form of undue inducement. (shrink)

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)

The topic of fake news has received increased attention from philosophers since the term became a favorite of politicians (Habgood-Coote 2016; Dentith 2016). Notably missing from the conversation, however, is a discussion of fake news and conspiracy theory media as a market. This paper will take as its starting point the account of noxious markets put forward by Debra Satz (2010), and will argue that there is a pro tanto moral reason to restrict the market for fake news. Specifically, we (...) begin with Satz’s argument that restricting a market may be required when i) that market inhibits citizens from being able to stand in an equal relationship with one another, and ii) this problem cannot be solved without such direct restrictions. Our own argument then proceeds in three parts: first, we argue that the market for fake news fits Satz’s description of a noxious market; second, we argue against explanations of the proliferation of fake news that are couched in terms of “epistemic vice”, and likewise argue against prescribing critical thinking education as a solution to the problem; finally, we conclude that, in the absence of other solutions to mitigate the noxious effects of the fake news market, we have a pro tanto moral reason to impose restrictions on this market. At the end of the paper, we consider one proposal to regulate the fake news market, which involves making social media outlets potentially liable in civil court for damages caused by the fake news hosted on their websites. (shrink)

Very large databases are a major opportunity for science and data analytics is a remarkable new field of investigation in computer science. The effectiveness of these tools is used to support a “philosophy” against the scientific method as developed throughout history. According to this view, computer-discovered correlations should replace understanding and guide prediction and action. Consequently, there will be no need to give scientific meaning to phenomena, by proposing, say, causal relations, since regularities in very large databases are enough: “with (...) enough data, the numbers speak for themselves”. The “end of science” is proclaimed. Using classical results from ergodic theory, Ramsey theory and algorithmic information theory, we show that this “philosophy” is wrong. For example, we prove that very large databases have to contain arbitrary correlations. These correlations appear only due to the size, not the nature, of data. They can be found in “randomly” generated, large enough databases, which—as we will prove—implies that most correlations are spurious. Too much information tends to behave like very little information. The scientific method can be enriched by computer mining in immense databases, but not replaced by it. (shrink)

This paper critiques many of the leading popular and philosophical arguments purporting to show employers have a duty to pay a living wage. Some of these arguments fail on their own terms. Some are not really about a living wage. The best of them fail to show employers per se owe a living wage; at best, they should that governments should supplement market incomes though a negative income tax or some other redistributive device.

Advertisers often have been accused of using techniques which manipulate and control the behavior of consumers and hence violate their autonomy. Some of these techniques are puffery, subliminal advertising, and indirect information transfer. After examining both criticisms and defenses of such practices, this paper presents an analysis of four of the concepts involved in the debate — the concepts of autonomous desire, rational desire, free choice, and control. Applying the results to the case of advertising, it is shown that advertising (...) cannot be found guilty of intrinsically or frequently violating the consumer's autonomy in any of the relevant senses of this notion. (shrink)

Many scholars agree that the Internet plays a pivotal role in self-radicalization, which can lead to behaviours ranging from lone-wolf terrorism to participation in white nationalist rallies to mundane bigotry and voting for extremist candidates. However, the mechanisms by which the Internet facilitates self-radicalization are disputed; some fault the individuals who end up self-radicalized, while others lay the blame on the technology itself. In this paper, we explore the role played by technological design decisions in online self-radicalization in its myriad (...) guises, encompassing extreme as well as more mundane forms. We begin by characterizing the phenomenon of technological seduction. Next, we distinguish between top-down seduction and bottom-up seduction. We then situate both forms of technological seduction within the theoretical model of dynamical systems theory. We conclude by articulating strategies for combatting online self-radicalization. (shrink)

YouTube has been implicated in the transformation of users into extremists and conspiracy theorists. The alleged mechanism for this radicalizing process is YouTube’s recommender system, which is optimized to amplify and promote clips that users are likely to watch through to the end. YouTube optimizes for watch-through for economic reasons: people who watch a video through to the end are likely to then watch the next recommended video as well, which means that more advertisements can be served to them. This (...) is a seemingly innocuous design choice, but it has a troubling side-effect. Critics of YouTube have alleged that the recommender system tends to recommend extremist content and conspiracy theories, as such videos are especially likely to capture and keep users’ attention. To date, the problem of radicalization via the YouTube recommender system has been a matter of speculation. The current study represents the first systematic, pre-registered attempt to establish whether and to what extent the recommender system tends to promote such content. We begin by contextualizing our study in the framework of technological seduction. Next, we explain our methodology. After that, we present our results, which are consistent with the radicalization hypothesis. Finally, we discuss our findings, as well as directions for future research and recommendations for users, industry, and policy-makers. (shrink)

YouTube has been implicated in the transformation of users into extremists and conspiracy theorists. The alleged mechanism for this radicalizing process is YouTube’s recommender system, which is optimized to amplify and promote clips that users are likely to watch through to the end. YouTube optimizes for watch-through for economic reasons: people who watch a video through to the end are likely to then watch the next recommended video as well, which means that more advertisements can be served to them. This (...) is a seemingly innocuous design choice, but it has a troubling side-effect. Critics of YouTube have alleged that the recommender system tends to recommend extremist content and conspiracy theories, as such videos are especially likely to capture and keep users’ attention. To date, the problem of radicalization via the YouTube recommender system has been a matter of speculation. The current study represents the first systematic, pre-registered attempt to establish whether and to what extent the recommender system tends to promote such content. We begin by contextualizing our study in the framework of technological seduction. Next, we explain our methodology. After that, we present our results, which are consistent with the radicalization hypothesis. Finally, we discuss our findings, as well as directions for future research and recommendations for users, industry, and policy-makers. (shrink)

What Jerry Fodor and Massimo Piattelli-Palmarini got wrong about Darwin and evolution.