In AI We Trust: The Interplay of Media Use, Political Ideology, and Trust in Shaping Emerging AI Attitudes

IF 3.4 2区 文学 Q1 COMMUNICATION Journalism & Mass Communication Quarterly Pub Date : 2023-09-20 DOI:10.1177/10776990231190868
Shiyu Yang, Nicole M. Krause, Luye Bao, Mikhaila N. Calice, Todd P. Newman, Dietram A. Scheufele, Michael A. Xenos, Dominique Brossard
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Abstract

Using data from a nationally representative survey of U.S. adults, this study explores how trust in key actors to responsibly manage artificial intelligence (AI) develops among members of the U.S. population and how trust, along with other key factors, shapes public attitudes toward AI. Greater trust is linked to stronger support for AI, both directly and indirectly (through risk and benefit perceptions). Furthermore, the strength or direction of the link between trust and support—as well as media diets and trust—differs significantly for liberals and conservatives, suggesting that Americans are indeed beginning to process AI-related information through a political lens.
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在我们信任的人工智能中:媒体使用、政治意识形态和信任在塑造新兴人工智能态度中的相互作用
本研究利用一项具有全国代表性的美国成年人调查的数据,探讨了美国人口中对负责任管理人工智能(AI)的关键行为者的信任如何发展,以及信任如何与其他关键因素一起塑造公众对人工智能的态度。更高的信任与对人工智能的更强有力的支持直接或间接相关(通过风险和利益认知)。此外,信任和支持之间的联系的强度或方向,以及媒体饮食和信任,在自由派和保守派之间存在显著差异,这表明美国人确实开始通过政治视角处理与人工智能相关的信息。
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来源期刊
CiteScore
7.20
自引率
5.60%
发文量
85
期刊介绍: Journalism & Mass Communication Quarterly focuses on research in journalism and mass communication. Each issue features reports of original investigation, presenting the latest developments in theory and methodology of communication, international communication, journalism history, and social and legal problems. Journalism & Mass Communication Quarterly also contains book reviews. Refereed. Published four times a year.
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