Listening to Misinformation while Driving: Cognitive Load and the Effectiveness of (Repeated) Corrections.

IF 2.8 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Jasmyne A Sanderson, Vanessa Bowden, Briony Swire-Thompson, Stephan Lewandowsky, Ullrich K H Ecker
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引用次数: 0

Abstract

Corrected misinformation can continue to influence inferential reasoning. It has been suggested that such continued influence is partially driven by misinformation familiarity, and that corrections should therefore avoid repeating misinformation to avoid inadvertent strengthening of misconceptions. However, evidence for such familiarity-backfire effects is scarce. We tested whether familiarity backfire may occur if corrections are processed under cognitive load. Although misinformation repetition may boost familiarity, load may impede integration of the correction, reducing its effectiveness and therefore allowing a backfire effect to emerge. Participants listened to corrections that repeated misinformation while in a driving simulator. Misinformation familiarity was manipulated through the number of corrections. Load was manipulated through a math task administered selectively during correction encoding. Multiple corrections were more effective than a single correction; cognitive load reduced correction effectiveness, with a single correction entirely ineffective under load. This provides further evidence against familiarity-backfire effects and has implications for real-world debunking.

驾驶时听错误信息:认知负荷和(重复)纠正的有效性。
纠正错误信息可以继续影响推理。有人认为,这种持续的影响在一定程度上是由对错误信息的熟悉所驱动的,因此,更正应避免重复错误信息,以避免无意中强化误解。然而,很少有证据表明这种熟悉会适得其反。我们测试了如果在认知负荷下进行纠正,熟悉度是否会适得其反。尽管重复错误信息可能会提高熟悉度,但负荷可能会阻碍纠正的整合,降低其有效性,从而导致适得其反的效果出现。参与者在驾驶模拟器中聆听重复错误信息的更正。错误信息的熟悉程度是通过大量的更正来操纵的。负荷是通过在校正编码期间选择性地执行的数学任务来操纵的。多重校正比单一校正更有效;认知负荷降低了矫正的有效性,单一的矫正在负荷下完全无效。这提供了进一步的证据来对抗熟悉的回火效应,并对现实世界的揭穿有启示。
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
5.30
自引率
9.50%
发文量
119
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