Continued influence of false accusations in forming impressions of political candidates.

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES
Michael S Cohen, Victoria Halewicz, Ece Yildirim, Joseph W Kable
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引用次数: 0

Abstract

Previous work has shown that false information affects decision-making even after being corrected, a phenomenon known as "continued influence effects" (CIEs). Using mock social media posts about fictional political candidates, we observe robust within-participant CIEs: candidates targeted by corrected accusations are rated more poorly than candidates not targeted by allegations. These effects occur both immediately and after as much as a 2-day delay. We further demonstrate that vulnerability to CIEs in a political context varies systematically between individuals. We found that certain groups are more susceptible to CIEs on immediate candidate ratings (i) those who rely more on intuitive feelings, (ii) those with lower digital literacy knowledge, and (iii) younger individuals. These individuals' judgments appear to be relatively more influenced by the refuted accusations and/or less influenced by the factual refutations. Interestingly, political orientation did not affect CIEs, despite its influence on explicitly identifying misinformation. Moreover, people recalled accusation stimuli better than refutations at a delay, suggesting that emotions may drive the prioritized processing of accusations. Our results indicate that analytic thinking could be protective when people judge political candidates targeted by refuted false information.

虚假指控继续影响人们对政治候选人的印象。
以往的研究表明,虚假信息即使在被纠正后仍会影响决策,这种现象被称为 "持续影响效应"(CIEs)。利用社交媒体上关于虚构政治候选人的模拟帖子,我们观察到了强烈的参与者内部 CIEs:与未被指控的候选人相比,被更正指控的候选人的评分更低。这些影响既会立即出现,也会在延迟两天后出现。我们进一步证明,在政治背景下,不同个体对 CIE 的易感性存在系统性差异。我们发现,某些群体在对候选人进行即时评分时更容易受到 CIE 的影响:(i)更依赖直觉的人,(ii)数字扫盲知识较少的人,(iii)年轻人。这些人的判断似乎受反驳指控的影响相对较大,和/或受事实反驳的影响较小。有趣的是,尽管政治取向对明确识别错误信息有影响,但它并不影响 CIEs。此外,在延迟的情况下,人们对指控刺激的回忆要好于对反驳刺激的回忆,这表明情绪可能会驱动人们优先处理指控。我们的研究结果表明,当人们判断被反驳的虚假信息所针对的政治候选人时,分析性思维可能会起到保护作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
0.00%
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