研究利用信念偏差来衡量对虚假信息的接受程度

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Robert Thomson, William Frangia
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引用次数: 0

摘要

当个人先前的信念影响了他们判断论证有效性(即结构)的能力,从而使他们倾向于接受与其先前信念一致的结论,而不管论证的有效性如何时,就会出现信念偏差。本研究采用最小解释范式来评估美国军事学院学员如何评估由不同权威人士提出的有关从阿富汗撤军的论据的有效性。与接受包含虚假事实的有效论据相比,学员拒绝接受包含真实事实的无效论据的可能性明显更大,过度自信的得分意味着他们没有意识到推理中的这一困难。我们还发现,受试者对来自民间的有关美国能力的论点更为挑剔。HEXACO 人格评估的结果显示,任务表现与完美主义和探究性子量表呈正相关,这意味着在这些量表中得分较高的人较少表现出信仰偏见。即使将这些特质考虑在内,结果也显示,与高级军事人员和文职人员相比,参与者拒绝接受同伴提出的有效论据的趋势很小,但却很显著。总之,本研究表明了信仰偏差对真假事实的不同影响,这种影响受到论据来源的影响,而人格特质则是这些影响的中介。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigating the use of belief-bias to measure acceptance of false information

Investigating the use of belief-bias to measure acceptance of false information

Belief-bias occurs when individuals’ prior beliefs impact their ability to judge the validity (i.e., structure) of an argument such that they are predisposed to accept conclusions consistent with their prior beliefs regardless of the argument’s validity. The present study uses a minimal explanation paradigm to evaluate how United States Military Academy cadets assess the validity of arguments surrounding the pull-out from Afghanistan presented by different sources of authority. Participants exhibited a significantly greater likelihood of rejecting an invalid argument with true facts compared to accepting a valid argument with false facts, with overconfidence scores implying they were unaware of this difficulty in reasoning. We also found that participants were were more critical of arguments about US capabilities coming from civilian sources. Results from the HEXACO personality assessment showed that task performance was positively correlated with perfectionism and inquisitiveness sub-scales, implying that those high in those measures were less likely to exhibit belief-bias. Even when factoring-in these traits, results revealed a small yet significant trend for participants to reject valid arguments from their peers compared with senior military and civilian counterparts. Overall, the present study shows a differential impact of belief-bias on true vs false facts, that this is influenced by the underlying source of the argument, and that personality traits mediate these effects.

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来源期刊
Computational and Mathematical Organization Theory
Computational and Mathematical Organization Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
3.80
自引率
16.70%
发文量
14
审稿时长
>12 weeks
期刊介绍: Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques. Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.
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