Department of Psychology, University of Cambridge, Cambridge, UK.
Department of Psychology and Center for Neural Science, New York University, New York, NY, USA.
Nat Hum Behav. 2023 Jun;7(6):892-903. doi: 10.1038/s41562-023-01540-w. Epub 2023 Mar 6.
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 incentives improved accuracy and reduced partisan bias in judgements of headlines by about 30%, primarily by increasing the perceived accuracy of true news from the opposing party (d = 0.47). Incentivizing people to identify news that would be liked by their political allies, however, decreased accuracy. Replicating prior work, conservatives were less accurate at discerning true from false headlines than liberals, yet incentives closed the gap in accuracy between conservatives and liberals by 52%. A non-financial accuracy motivation intervention was also effective, suggesting that motivation-based interventions are scalable. Altogether, these results suggest that a substantial portion of people's judgements of the accuracy of news reflects motivational factors.
人们对(错误)信息的信任程度,究竟是反映了知识的缺乏,还是缺乏准确的动机,目前还不清楚。在这里,通过四项实验(n=3364),我们通过为参与者提供关于真实和虚假政治新闻标题的准确性的经济奖励来激励他们准确回答问题。经济奖励提高了准确性,并将对标题的党派偏见降低了约 30%,主要是通过提高对来自对立党派的真实新闻的感知准确性(d=0.47)。然而,激励人们识别会受到他们政治盟友喜欢的新闻会降低准确性。复制先前的工作,保守派在辨别真实和虚假标题方面的准确性低于自由派,但激励措施将保守派和自由派之间的准确性差距缩小了 52%。非经济激励的准确性干预也同样有效,这表明基于动机的干预措施是可扩展的。总的来说,这些结果表明,人们对新闻准确性的判断在很大程度上反映了动机因素。