2021
DOI: 10.1257/aer.20191295
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Mistakes, Overconfidence, and the Effect of Sharing on Detecting Lies

Abstract: Mistakes and overconfidence in detecting lies could help lies spread. Participants in our experiments observe videos in which senders either tell the truth or lie, and are incentivized to distinguish between them. We find that participants fail to detect lies, but are overconfident about their ability to do so. We use these findings to study the determinants of sharing and its effect on lie detection, finding that even when incentivized to share truthful videos, participants are more likely to share lies. More… Show more

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Cited by 33 publications
(11 citation statements)
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“…Furthermore, in our experiments, people are able to control the accuracy of the information they have. Overall speaking, our results support the view that people share inaccurate information not because people do not have preferences for sharing accurate information ( Van Bavel and Pereira, 2018 ), nor because people have difficulty judging the accuracy of information ( Serra-Garcia and Gneezy, 2021 ), but rather a failure to let information accuracy guide sharing decisions ( Altay et al, 2022 ). This view logically confirms the effectiveness of the currently advocated nudge strategy to suppress misinformation sharing by guiding people to consider the accuracy of the information they obtain ( Pennycook et al, 2021 ; Roozenbeek et al, 2021 ).…”
Section: Discussionsupporting
confidence: 74%
See 1 more Smart Citation
“…Furthermore, in our experiments, people are able to control the accuracy of the information they have. Overall speaking, our results support the view that people share inaccurate information not because people do not have preferences for sharing accurate information ( Van Bavel and Pereira, 2018 ), nor because people have difficulty judging the accuracy of information ( Serra-Garcia and Gneezy, 2021 ), but rather a failure to let information accuracy guide sharing decisions ( Altay et al, 2022 ). This view logically confirms the effectiveness of the currently advocated nudge strategy to suppress misinformation sharing by guiding people to consider the accuracy of the information they obtain ( Pennycook et al, 2021 ; Roozenbeek et al, 2021 ).…”
Section: Discussionsupporting
confidence: 74%
“…One alternative explanation is that people’s ability to judge the accuracy of information is insufficient. Serra-Garcia and Gneezy (2021) find that people have difficulty judging uncertainty in information, but they are overconfident in their ability to judge the accuracy of information, so that when people are motivated to share accurate information, this information may instead be inaccurate. Yet more researches consider that most people are able to correctly assess the accuracy of information ( Bago et al, 2020 ; Pennycook et al, 2020 , 2021 ; Pennycook and Rand, 2021 ).…”
Section: Theoretical Background and Hypotheses Developmentmentioning
confidence: 99%
“…Also, ref. 10 shows that people are poor at distinguishing what is true and false but become more confident in false messages if shared by others. In light of these findings, we step back from particular specifications of sender intentions and receiver updating rules and focus directly on the problem of how platforms can increase message fidelity.…”
Section: Some Background Observationsmentioning
confidence: 99%
“…Top executive hubris (or overconfidence) is defined as a subjective overestimation of ability, knowledge or future performance (Hayward et al. , 2006; Malmendier and Tate, 2005; Serra-Garcia and Gneezy, 2021). The distorted expectations paradigm regards both as indicative of judgment bias and as predictive of decision error.…”
Section: Introductionmentioning
confidence: 99%