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选择性暴露在一定程度上依赖于错误的情感预测。

Selective exposure partly relies on faulty affective forecasts.

机构信息

Harvard Kennedy School, Harvard University, United States.

Harvard Kennedy School, Harvard University, United States.

出版信息

Cognition. 2019 Jul;188:98-107. doi: 10.1016/j.cognition.2019.02.010. Epub 2019 Mar 1.

Abstract

People preferentially consume information that aligns with their prior beliefs, contributing to polarization and undermining democracy. Five studies (collective N = 2455) demonstrate that such "selective exposure" partly stems from faulty affective forecasts. Specifically, political partisans systematically overestimate the strength of negative affect that results from exposure to opposing views. In turn, these incorrect forecasts drive information consumption choices. Clinton voters overestimated the negative affect they would experience from watching President Trump's Inaugural Address (Study 1) and from reading statements written by Trump voters (Study 2). Democrats and Republicans overestimated the negative affect they would experience from listening to speeches by opposing-party senators (Study 3). People's tendency to underestimate the extent to which they agree with opponents' views drove the affective forecasting error. Finally, correcting biased affective forecasts reduced selective exposure by 24-34% (Studies 4 and 5).

摘要

人们更倾向于接受与自己先前信念一致的信息,这导致了观点极化,并破坏了民主。五项研究(总计 N=2455)表明,这种“选择性接触”部分源于错误的情感预测。具体来说,政治派别人士系统地高估了接触相反观点所带来的负面情绪的强度。反过来,这些不正确的预测又会影响信息消费的选择。克林顿的选民高估了他们在观看特朗普总统就职演说(研究 1)和阅读特朗普选民撰写的声明时(研究 2)所经历的负面情绪。民主党人和共和党人高估了他们在听来自对方党派参议员演讲时所经历的负面情绪(研究 3)。人们低估自己与对手观点一致程度的倾向导致了情感预测错误。最后,纠正有偏差的情感预测可以减少 24%至 34%的选择性接触(研究 4 和 5)。

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