Jay Van Bavel

Jay Van Bavel
  • Doctor of Philosophy
  • Professor (Assistant) at New York University

About

243
Publications
190,373
Reads
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19,757
Citations
Current institution
New York University
Current position
  • Professor (Assistant)
Additional affiliations
September 2008 - December 2009
The Ohio State University
Position
  • PostDoc Position

Publications

Publications (243)
Article
Full-text available
People generate evaluations of different attitude objects based on their goals and aspects of the social context. Prior research suggests that people can shift between at least three types of evaluations to judge whether something is good or bad: pragmatic (how costly or beneficial it is), moral (whether it is aligned with moral norms), and hedonic...
Article
In addition to social determinants of health, such as economic resources, education, access to care and various environmental factors, there is growing evidence that political polarization poses a substantial risk to individual and collective well-being. Here we review the impact of political polarization on public health. We describe the different...
Article
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Scholars warn that partisan divisions in the mass public threaten the health of American democracy. We conducted a megastudy ( n = 32,059 participants) testing 25 treatments designed by academics and practitioners to reduce Americans’ partisan animosity and antidemocratic attitudes. We find that many treatments reduced partisan animosity, most stro...
Article
The social and behavioral sciences have been increasingly using automated text analysis to measure psychological constructs in text. We explore whether GPT, the large-language model (LLM) underlying the AI chatbot ChatGPT, can be used as a tool for automated psychological text analysis in several languages. Across 15 datasets ( n = 47,925 manually...
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Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is...
Article
Although much of human morality evolved in an environment of small group living, almost 6 billion people use the internet in the modern era. We argue that the technological transformation has created an entirely new ecosystem that is often mismatched with our evolved adaptations for social living. We discuss how evolved responses to moral transgres...
Article
The tendency for people to consider themselves morally good while behaving selfishly is known as moral hypocrisy. Influential work by Valdesolo and DeSteno (2007) found evidence for intergroup moral hypocrisy such that people were more forgiving of transgressions when they were committed by an in-group member than an out-group member. We conducted...
Article
Social media takes advantage of people's predisposition to attend to threatening stimuli by promoting content in algorithms that capture attention. However, this content is often not what people expressly state they would like to see. We propose that social media companies should weigh users’ expressed preferences more heavily in algorithms. We pro...
Article
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A major barrier to climate change mitigation is the political polarization of climate change beliefs. In a global experiment conducted in 60 countries (N = 51,224), we assess the differential impact of eleven climate interventions across the ideological divide. At baseline, we find political polarization of climate change beliefs and policy support...
Article
The spread of misinformation is a pressing societal challenge. Prior work shows that shifting attention to accuracy increases the quality of people’s news-sharing decisions. However, researchers disagree on whether accuracy-prompt interventions work for U.S. Republicans/conservatives and whether partisanship moderates the effect. In this preregiste...
Article
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Interventions to counter misinformation are often less effective for polarizing content on social media platforms. We sought to overcome this limitation by testing an identity-based intervention, which aims to promote accuracy by incorporating normative cues directly into the social media user interface. Across three pre-registered experiments in t...
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Generative artificial intelligence, including chatbots like ChatGPT, has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the probable impacts of generative AI on four critical domains: work, education, health, and information. Our goal...
Article
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Scientific evidence regularly guides policy decisions¹, with behavioural science increasingly part of this process². In April 2020, an influential paper³ proposed 19 policy recommendations (‘claims’) detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandem...
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Nearly five billion people around the world now use social media, and this number continues to grow. One of the primary goals of social media platforms is to capture and monetize human attention. One means by which individuals and groups can capture attention and drive engagement on these platforms is by sharing morally and emotionally evocative co...
Article
Polarization has been rising in the United States of America for the past few decades and now poses a significant—and growing—public-health risk. One of the signature features of the American response to the COVID-19 pandemic has been the degree to which perceptions of risk and willingness to follow public-health recommendations have been political...
Article
In four experiments covering three different life domains, participants made future predictions in what they considered the most realistic scenario, an optimistic best-case scenario, or a pessimistic worst-case scenario ( N = 2,900 Americans). Consistent with a best-case heuristic, participants made “realistic” predictions that were much closer to...
Article
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Emerging adulthood is characterized by marked increases in vulnerability to psychiatric illness. As such, understanding how risk and protective factors function to promote, or impede, resilience during early adulthood is critical. This pre-registered work is the first to test four extant models of resilience among emerging adults. 1,075 participant...
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System-level change is crucial for solving society's most pressing problems. However, individual-level interventions may be useful for creating behavioral change before system-level change is in place and for increasing necessary public support for system-level solutions. Participating in individual-level solutions may increase support for system-l...
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Online misinformation is disproportionality created and spread by people with extreme political attitudes, especially among the far-right. There is a debate in the literature about why people spread misinformation and what should be done about it. According to the purely cognitive account, people largely spread misinformation because they are lazy,...
Article
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Understanding what factors are linked to public health behavior in a global pandemic is critical to mobilizing an effective public health response. Although public policy and health messages are often framed through the lens of individual benefit, many of the behavioral strategies needed to combat a pandemic require individual sacrifices to benefit...
Article
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The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public...
Article
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Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized con...
Article
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Beliefs have long been theorized to predict behaviors and thus have been the target of many interventions aimed at changing false beliefs in the population. But does changing beliefs translate into predictable changes in behaviors? Here, we investigated the impact of belief change on behavioral change across two experiments (N = 576). Participants...
Article
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The extent to which belief in (mis)information reflects lack of knowledge versus a lack of motivation to be accurate is unclear. Here, across four experiments (n = 3,364), we motivated US participants to be accurate by providing financial incentives for correct responses about the veracity of true and false political news headlines. Financial incen...
Article
We investigated whether any differences in the psychological conceptualization of hate and dislike were simply a matter of degree of negativity (i.e., hate falls on the end of the continuum of dislike) or also morality (i.e., hate is imbued with distinct moral components that distinguish it from dislike). In three lab studies in Canada and the Unit...
Article
From an early age, children are willing to pay a personal cost to punish others for violations that do not affect them directly. Various motivations underlie such “costly punishment”: People may punish to enforce cooperative norms (amplifying punishment of in-groups) or to express anger at perpetrators (amplifying punishment of out-groups). Thus, g...
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Understanding how vaccine hesitancy relates to online behavior is crucial for addressing current and future disease outbreaks. We combined survey data measuring attitudes toward the COVID-19 vaccine with Twitter data in two studies (N1 = 464 Twitter users, N2 = 1,600 Twitter users) with pre-registered hypotheses to examine how real-world social med...
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Rising partisan animosity is associated with a reduction in support for democracy and an increase in support for political violence. Here we provide a multi-level review of interventions designed to reduce partisan animosity, which we define as negative thoughts, feelings and behaviours towards a political outgroup. We introduce the TRI framework t...
Chapter
Cooperation occurs at all stages of human life and is necessary for small groups and large-scale societies alike to emerge and thrive. This chapter bridges research in the fields of cognitive neuroscience, neuroeconomics, and social psychology to help understand group cooperation. We present a value-based framework for understanding cooperation, in...
Article
While conspiracy theories may offer benefits to those who believe in them, they can also foster intergroup conflict, threaten democracy, and undercut public health. We argue that the motivations behind conspiracy theory belief are often related to social identity. Conspiracy theories are well-positioned to fulfill social identity needs such as belo...
Article
This article develops a dual-agency model of leadership which treats collective phenomena as a co-production involving both leaders and followers who identify with the same social group. The model integrates work on identity leadership and engaged followership derived from the social identity approach in social psychology. In contrast to binary mod...
Article
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A large body of research has found mixed evidence that people who are quick to dismiss randomness as a potential cause for an event are also more likely to believe conspiracy theories. To clarify the relationship between randomness dismissal and conspiracist ideation, we conducted a high-powered preregistered replication of an influential study in...
Preprint
Full-text available
The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behavior change. To help scholars better understand the social and moral psychology behind public h...
Preprint
Full-text available
Online misinformation poses a significant threat to global challenges, such as the COVID-19 pandemic and climate change. Misinformation is disproportionality shared by people with extreme political attitudes, especially among the far right. To understand the psychological and neurocognitive processes that underlie misinformation sharing among extre...
Article
Full-text available
The affective animosity between the political left and right has grown steadily in many countries over the past few years, posing a threat to democratic practices and public health. There is a rising concern over the role that “bad actors” or trolls may play in the polarization of online networks. In this research, we examined the processes by whic...
Article
The aim of the social and behavioral sciences is to understand human behavior across a wide array of contexts. Our theories often make sweeping claims about human nature, assuming that our ancestors or offspring will be prone to the same biases and preferences. Yet we gloss over the fact that our research is often based in a single temporal context...
Article
Full-text available
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and str...
Preprint
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Liberals and conservatives are divided in their judgements about the accuracy of true and false news. Yet it is unclear whether this partisan divide reflects genuine differences in knowledge, or whether it can be overcome if people are motivated to be accurate. Across three experiments ( n = 2,381), we motivated participants to be accurate by givin...
Article
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According to recent work, subtly nudging people to think about accuracy can reduce the sharing of COVID-19 misinformation online (Pennycook et al., 2020). The authors argue that inattention to accuracy is a key factor behind the sharing of misinformation. They further argue that “partisanship is not, apparently, the key factor distracting people fr...
Article
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The COVID-19 global pandemic has brought far-reaching consequences on individual and societal levels. Social distancing and physical hygiene constitute effective public health measures to limit the spread of the virus. The current study investigates individual age and gender demographics, in interaction with a country’s human development index (HDI...
Article
Conspiracy theories related to coronavirus disease 2019 (COVID-19) have propagated around the globe, leading the World Health Organization to declare the spread of misinformation an “Infodemic.” We tested the hypothesis that national narcissism—a belief in the greatness of one’s nation that requires external recognition—is associated with the sprea...
Article
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Partisan and ideological identities are a consistent barrier to the adoption of climate change mitigation policies, especially in countries where fossil fuel reliance is the highest. We review how understanding collective cognition may help overcome such barriers by changing norms, promoting cooperation, downplaying partisan identities, or leveragi...
Article
We test three competing theoretical accounts invoked to explain the rise and spread of political (mis)information. We compare the ideological values hypothesis (people prefer news that bolster their values and worldviews); the confirmation bias hypothesis (people prefer news that fit their preexisting stereotypical knowledge); and the political ide...
Article
Rationale/objective The COVID-19 pandemic has brought far-reaching consequences on individual and societal levels. Social distancing and physical hygiene constitute effective public health measures to limit the spread of the virus. This study investigated age and gender demographics, in tandem with national levels of human development, as crucial f...
Article
This article reviews the empirical evidence on the relationship between social media and political polarization. We argue that social media shapes polarization through the following social, cognitive, and technological processes: partisan selection, message content, and platform design and algorithms.
Article
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Collective behavior provides a framework for understanding how the actions and properties of groups emerge from the way individuals generate and share information. In humans, information flows were initially shaped by natural selection yet are increasingly structured by emerging communication technologies. Our larger, more complex social networks n...
Article
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Significance Almost four billion people around the world now use social media platforms such as Facebook and Twitter, and social media is one of the primary ways people access news or receive communications from politicians. However, social media may be creating perverse incentives for divisive content because this content is particularly likely to...
Chapter
Over the past few decades, two-factor models of social cognition have emerged as the dominant framework for understanding impression formation. Despite the differences in the labels, there is wide agreement that one dimension reflects sociability potential, and the other, competence. One way in which the various two-factor models do clearly differ,...
Article
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The rise of peer-to-peer platforms has represented one of the major economic and societal developments observed in the last decade. We investigated whether people engage in racial discrimination in the sharing economy, and how such discrimination might be explained and mitigated. Using a set of carefully controlled experiments (N = 1,599), includin...
Preprint
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Beliefs have long been posited to be a predictor of behavior. However, empirical evidence of the relationship between beliefs and behaviors has been mostly correlational in nature and provided conflicting findings. Here, we investigated the causal impact of beliefs on behaviors across three experiments (N=659). Participants rated the accuracy of a...
Preprint
Over 4 billion people now use social media platforms. As our social lives become more entangled than ever before with online social networks, it is important to understand the dynamics of online information diffusion. This is particularly true for the political domain, as political elites, disinformation profiteers and social activists all utilize...
Preprint
As social interactions increasingly occur through social media platforms, intergroup affective phenomena such as “outrage firestorms” and “cancel culture” have emerged with notable consequences for society. In this research, we examine how social identity shapes the antecedents and functional outcomes of moral emotion expression online. Across four...
Preprint
The aim of the social and behavioral sciences is to understand human behavior across a wide array of contexts. Our theories often make sweeping claims about human nature, assuming that our ancestors or offspring will be prone to the same biases and preferences. Yet we gloss over the fact that our research is often based in a single temporal context...
Article
Full-text available
Multiracial individuals are often categorized as members of their ‘socially subordinate’ racial group—a form of social discrimination termed hypodescent—with political conservatives more likely than liberals to show this bias. Although hypodescent has been linked to racial hierarchy preservation motives, it remains unclear how political ideology in...
Article
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How do people form their political beliefs? In an effort to address this question, we adopt a neuropsychological approach. In a natural experiment, we explored links between neuroanatomy and ideological preferences in two samples of brain lesion patients in New York City. Specifically, we compared the political orientations of patients with frontal...
Article
There is currently a debate in political psychology about whether dogmatism and belief superiority are symmetric or asymmetric across the ideological spectrum. Toner, Leary, Asher, and Jongman-Sereno (2013) found that dogmatism was higher among conservatives than liberals, but both conservatives and liberals with extreme attitudes reported higher p...
Preprint
Full-text available
Partisan and ideological identities are a consistent barrier to the adoption of climate change mitigation policies, especially in Anglophone countries where fossil fuel reliance is the highest. We review how understanding collective cognition may help overcome such barriers by changing norms, promoting cooperation, downplaying partisan identities,...
Preprint
Facts are not what they used to be. Whether you are checking the news or opening the latest journal article, there is increasing evidence that people are more susceptible to misinformation and less receptive to factual arguments than we might hope. While fact checks can be effective in some domains (e.g., health), they prove to be a very weak antid...
Article
Full-text available
The spread of misinformation, including “fake news,” propaganda, and conspiracy theories, represents a serious threat to society, as it has the potential to alter beliefs, behavior, and policy. Research is beginning to disentangle how and why misinformation is spread and identify processes that contribute to this social problem. We propose an integ...
Article
We invited authors of selected Comments and Perspectives published in Nature Machine Intelligence in the latter half of 2019 and first half of 2020 to describe how their topic has developed, what their thoughts are about the challenges of 2020, and what they look forward to in 2021.
Article
Moral and immoral actions often involve multiple individuals who play different roles in bringing about the outcome. For example, one agent may deliberate and decide what to do while another may plan and implement that decision. We suggest that the Mindset Theory of Action Phases provides a useful lens through which to understand these cases and th...
Article
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Numerous polls suggest that COVID-19 is a profoundly partisan issue in the United States. Using the geotracking data of 15 million smartphones per day, we found that US counties that voted for Donald Trump (Republican) over Hillary Clinton (Democrat) in the 2016 presidential election exhibited 14% less physical distancing between March and May 2020...
Article
A poisonous cocktail of othering, aversion, and moralization poses a threat to democracy
Preprint
Full-text available
Why have citizens become increasingly polarized? The answer is that there is increasing identification with political parties —a process known as partisanship (Mason, 2018). This chapter will focus on the role that social identity plays in contemporary politics (Greene, 2002). These party identities influence political preferences, such that partis...
Article
Full-text available
Despite decades of research in economics and psychology attempting to identify ingredients that make up successful teams, neuroscientists have only just begun to study how multiple brains interact. Recent research has shown that people's brain activity becomes synchronized with others' (inter-brain synchrony) during social engagement. However, litt...
Preprint
The spread of misinformation, including “fake news,” disinformation, and conspiracy theories, represents a serious threat to society, as it has the potential to alter beliefs, behavior, and policy. Research is beginning to disentangle how and why misinformation is spread and identify processes that contribute to this social problem. Here, we review...
Preprint
Full-text available
The ongoing COVID-19 pandemic is a devastating global health crisis. Without a vaccine or effective medication, the best hope for mitigating virus transmission is collective behavior change and support for public health interventions (e.g., physical distancing, physical hygiene, and endorsement of health policies). In a large-scale international co...
Preprint
The ongoing COVID-19 pandemic is a devastating global health crisis. Without a vaccine or effective medication, the best hope for mitigating virus transmission is collective behavior change and support for public health interventions (e.g., physical distancing, physical hygiene, and endorsement of health policies). In a large-scale international co...
Preprint
Full-text available
The ongoing COVID-19 pandemic is a devastating global health crisis. Without a vaccine or effective medication, the best hope for mitigating virus transmission is collective behavior change and support for public health interventions (e.g., physical distancing, physical hygiene, and endorsement of health policies). In a large-scale international co...
Article
Full-text available
Social science researchers are predominantly liberal, and critics have argued this representation may reduce the robustness of research by embedding liberal values into the research process. In an adversarial collaboration, we examined whether the political slant of research findings in psychology is associated with lower rates of scientific replic...
Preprint
Full-text available
Political polarization, or the ideological distance between the political left and right, has grown steadily in recent decades. There is a rising concern over the role that ‘bad actors’ or trolls may play in polarization in online networks. In this research, we examine the processes by which trolls may sow intergroup conflict through polarizing rhe...
Preprint
Full-text available
Despite decades of research in economics and psychology attempting to identify ingredients that make up successful teams, neuroscientists have only just begun to study how multiple brains interact. Recent research has shown that people’s brain activity becomes synchronized with others’ (inter-brain synchrony) during social engagement. However, litt...
Article
Full-text available
With more than 3 billion users, online social networks represent an important venue for moral and political discourse and have been used to organize political revolutions, influence elections, and raise awareness of social issues. These examples rely on a common process to be effective: the ability to engage users and spread moralized content throu...
Preprint
During the current global pandemic (Coronavirus/COVID-19), policy-makers and citizens in numerous countries have been unprepared to respond, or been responding too late. Why are so many people hesitant to take precautionary action? In three experiments on health risk prediction (N = 2,300 Americans), we identified two kinds of relative optimism. Pa...
Preprint
Full-text available
Few things bind disparate groups together like a common obstacle. Yet, numerous polls suggest that the COVID-19 pandemic has been subject to a deep partisan divide. Using geo-tracking data of over 17 million smartphone users around the United States, we examined whether partisan differences predict objective physical-distancing behaviors. U.S. coun...
Preprint
Full-text available
While COVID-19 was quietly spreading across the globe, conspiracy theories were finding loud voices on the internet. What contributes to the spread of these theories? In two national surveys (NTotal = 950) conducted in the United States and the United Kingdom, we identified national narcissism – a belief in the greatness of one’s nation that others...
Preprint
There is currently a debate in political psychology about whether dogmatism and belief superiority are symmetric or asymmetric across the ideological spectrum. One study found that dogmatism was higher amongst conservatives than liberals, but both conservatives and liberals with extreme attitudes reported higher perceived superiority of beliefs (To...
Chapter
The sixth edition of the foundational reference on cognitive neuroscience, with entirely new material that covers the latest research, experimental approaches, and measurement methodologies. Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The sixth edition of The Cognitive Neuro...
Article
Full-text available
Humans are highly attuned to perceptual cues about their values. A growing body of evidence suggests that people selectively attend to moral stimuli. However, it is unknown whether morality is prioritized early in perception or much later in cognitive processing. We use a combination of behavioral methods and electroencephalography to investigate h...
Article
To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from 2 separate large samples (total N > 15,000) were then...
Article
Full-text available
The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here...
Article
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(word count = 150). Cooperation is necessary for solving numerous social issues, including climate change, effective governance, and economic stability. Value-based decision models contend that prosocial tendencies and social context shape people's preferences for cooperative or selfish behavior. Using functional neuroimaging and computational mode...
Article
Full-text available
Understanding the roots of human cooperation, a social phenomenon embedded in pressing issues including climate change and social conflict, requires an interdisciplinary perspective. We propose a unifying value-based framework for understanding cooperation that integrates neuroeconomic models of decision-making with psychological variables involved...
Article
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In this commentary, we offer an additional function of rationalization. Namely, in certain social contexts, the proximal and ultimate function of beliefs and desires is social inclusion. In such contexts, rationalization often facilitates distortion of rather than approximation to truth. Understanding the role of social identity is not only timely...
Article
Full-text available
As artificial intelligence becomes prevalent in society, a framework is needed to connect interpretability and trust in algorithm-assisted decisions, for a range of stakeholders.

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