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  1. The Smart System 1: evidence for the intuitive nature of correct responding on the bat-and-ball problem.Bence Bago & Wim De Neys - 2019 - Thinking and Reasoning 25 (3):257-299.
    Influential work on reasoning and decision-making has popularised the idea that sound reasoning requires correction of fast, intuitive thought processes by slower and more demanding deliberation. We present seven studies that question this corrective view of human thinking. We focused on the very problem that has been widely featured as the paradigmatic illustration of the corrective view, the well-known bat-and-ball problem. A two-response paradigm in which people were required to give an initial response under time pressure and cognitive load allowed (...)
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  • Cognitive Reflection and Decision Making.Shane Frederick - 2005 - Journal of Economic Perspectives 19 (4):25-42.
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  • The time course of conflict on the Cognitive Reflection Test.Eoin Travers, Jonathan J. Rolison & Aidan Feeney - 2016 - Cognition 150 (C):109-118.
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  • Individual differences in reasoning: Implications for the rationality debate?Keith E. Stanovich & Richard F. West - 2000 - Behavioral and Brain Sciences 23 (5):645-665.
    Much research in the last two decades has demonstrated that human responses deviate from the performance deemed normative according to various models of decision making and rational judgment (e.g., the basic axioms of utility theory). This gap between the normative and the descriptive can be interpreted as indicating systematic irrationalities in human cognition. However, four alternative interpretations preserve the assumption that human behavior and cognition is largely rational. These posit that the gap is due to (1) performance errors, (2) computational (...)
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  • The smart intuitor: Cognitive capacity predicts intuitive rather than deliberate thinking.Matthieu Raoelison, Valerie A. Thompson & Wim De Neys - 2020 - Cognition 204 (C):104381.
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  • Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning.Gordon Pennycook & David Rand - 2018 - Cognition 188 (C):39-50.
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  • On the economy of the human-processing system.David Navon & Daniel Gopher - 1979 - Psychological Review 86 (3):214-255.
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  • The science of fake news.David Lazer, Matthew Baum, Yochai Benkler, Adam Berinsky, Kelly Greenhill, Filippo Menczer, Miriam Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, Michael Schudson, Steven Sloman, Cass Sunstein, Emily Thorson, Duncan Watts & Jonathan Zittrain - 2018 - Science 359 (6380):1094-1096.
    Addressing fake news requires a multidisciplinary effort The rise of fake news highlights the erosion of long-standing institutional bulwarks against misinformation in the internet age. Concern over the problem is global. However, much remains unknown regarding the vulnerabilities of individuals, institutions, and society to manipulations by malicious actors. A new system of safeguards is needed. Below, we discuss extant social and computer science research regarding belief in fake news and the mechanisms by which it spreads. Fake news has a long (...)
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  • Fighting COVID-19 misinformation on social media: experimental evidence for a scalable accuracy-nudge intervention.Gordon Pennycook, Jonathon McPhetres, Yunhao Zhang, Jackson Lu & David Rand - 2020 - Psychological Science 31 (7):770–80.
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  • Dual-processing accounts of reasoning, judgment, and social cognition.Jonathan Evans - 2008 - Annual Review of Psychology 59:255–78.
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  • Pausing to consider why a headline is true or false can help reduce the sharing of false news.Lisa Fazio - 2020 - Harvard Kennedy School Misinformation Review 1 (2).
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  • Reliance on emotion promotes belief in fake news.Cameron Martel, Gordon Pennycook & David Rand - 2020 - Cognitive Research: Principles and Implications 5 (1):1–20.
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  • Cognitive reflection correlates with behavior on Twitter.Mohsen Mosleh, Gordon Pennycook, Antonio Arechar & David Rand - 2021 - Nature Communications 12 (1):1–10.
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