考虑信息共享动机以减少错误信息。
Considering information-sharing motives to reduce misinformation.
机构信息
Affective Brain Lab, Department of Experimental Psychology, University College London, London, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychology, New York University, NY, NY, USA.
Affective Brain Lab, Department of Experimental Psychology, University College London, London, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
出版信息
Curr Opin Psychol. 2024 Oct;59:101852. doi: 10.1016/j.copsyc.2024.101852. Epub 2024 Aug 2.
Misinformation has risen in recent years, negatively affecting domains ranging from politics to health. To curb the spread of misinformation it is useful to consider why, how, and when people decide to share information. Here we suggest that information-sharing decisions are value-based choices, in which sharers strive to maximize rewards and minimize losses to themselves and/or others. These outcomes can be tangible, in the form of monetary rewards or losses, or intangible, in the form of social feedback. On social media platforms these rewards and losses are not clearly tied to the accuracy of information shared. Thus, sharers have little incentive to avoid disseminating misinformation. Based on this framework, we propose ways to nudge sharers to prioritize accuracy during information-sharing.
近年来，错误信息大量涌现，对从政治到健康等各个领域产生了负面影响。为了遏制错误信息的传播，我们有必要思考人们为什么、如何以及何时决定分享信息。在这里，我们认为信息分享决策是基于价值的选择，分享者努力使自己和/或他人的收益最大化，同时使损失最小化。这些结果可以是有形的，如金钱奖励或损失，也可以是无形的，如社会反馈。在社交媒体平台上，这些奖励和损失与所分享信息的准确性并没有明确的关联。因此，分享者没有什么动力去避免传播错误信息。基于这一框架，我们提出了一些方法来促使分享者在信息分享时优先考虑准确性。
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