Social Media Use and Attitudes toward AI: The Mediating Roles of Perceived AI Fairness and Threat

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2024-04-02 DOI:10.1155/2024/3448083
Wenbo Li, Xia Zheng
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Abstract

This study investigates the association between social media use and attitudes toward AI technologies. A nationally representative two-wave longitudinal survey (N = 5110) examined the mediating roles of perceived AI fairness and threat concerning three AI technologies: algorithms, facial recognition technology, and driverless passenger vehicles. Hypotheses were derived from media effect theories and the heuristic and systematic model of human-AI adoption. The results showed that social media use predicted more positive attitudes toward the three AI technologies indirectly through increased perceived AI fairness and reduced perceived AI threat. The findings contribute to our understanding of social media effects on attitudes toward AI and the underlying psychological mechanisms, providing valuable theoretical insights and practical implications.

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社交媒体的使用和对人工智能的态度:人工智能公平性和威胁感的中介作用
本研究调查了社交媒体的使用与人们对人工智能技术的态度之间的关联。一项具有全国代表性的两波纵向调查(N = 5110)考察了感知到的人工智能公平性和威胁对三种人工智能技术的中介作用:算法、面部识别技术和无人驾驶乘用车。假设来自媒体效应理论和人类采用人工智能的启发式系统模型。结果显示,社交媒体的使用通过提高人工智能公平感和降低人工智能威胁感,间接地预测了人们对这三种人工智能技术更积极的态度。这些研究结果有助于我们理解社交媒体对人工智能态度的影响及其背后的心理机制,为我们提供了宝贵的理论见解和现实意义。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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