易受误导的决定因素:气候变化、新冠肺炎和人工智能研究

IF 0.4 Q4 ECONOMICS
Sven Gruener
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引用次数: 0

摘要

这篇文章探讨了对错误信息的易感性是否取决于上下文。为此,进行了一项调查实验,来自德国的受试者必须对气候变化、新冠肺炎和人工智能领域的几项声明的可靠性进行评分。这些情况在媒体报道的频率、示威形式的人口活动、每日死亡人数和科学知识方面有所不同。我们发现了一些相似之处(例如,在所有三种情况下,对社交网络的信任与陷入错误信息正相关),但也发现了实质性的差异(例如,风险认知以及人们认为证据来调整自己的信仰的程度似乎对气候变化和新冠肺炎很重要,但对人工智能却不重要)。需要对与背景相关的差异和叙述进行更系统的研究,以设计针对错误信息的适当措施。JEL:C91,D01,D80
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Gullibility to Misinformation: A Study of Climate Change, COVID-19 and Artificial Intelligence
This article explores whether susceptibility to misinformation is context-dependent. For this purpose, a survey experiment has been conducted in which subjects from Germany had to rate the reliability of several statements in the fields of climate change, COVID-19 and artificial intelligence. These contexts differed with respect to the frequency of media coverage, population activity in the form of demonstrations, daily number of deaths, and scientific knowledge. We find some similarities (for example, trust in social networks is positively associated with falling for misinformation in all three contexts) but also substantial differences (for example, risk perception as well as the extent to which people consider evidence to adjust their beliefs seem to matter for climate change and COVID-19 but not for artificial intelligence). More systematic work on context-related differences and narratives is required to design adequate measures against misinformation. JEL: C91, D01, D80
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
14
期刊介绍: The explosion of information and research that has taken place in recent years has had a profound effect upon a variety of existing academic disciplines giving rise to the dissolution of barriers between some, mergers between others, and the creation of entirely new fields of enquiry.
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