The Indirect Effects of Episodic-Thematic Framing on Information Sharing About the Economic Threat of Artificial Intelligence

IF 1.4 Q2 COMMUNICATION Communication Studies Pub Date : 2022-09-13 DOI:10.1080/10510974.2022.2121737

A. Kirkpatrick, Jay D. Hmielowski, Amanda D. Boyd

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Abstract

ABSTRACT Developing artificial intelligence (AI) equitably necessitates understanding how nonexperts conceptualize and share news about technoscientific risk. We examine a model predicting AI information sharing online from an interaction of framing strategies, through psychological proximity to the impacts of AI and perceived AI risk. A panel of N = 412 participants were exposed to either a control message; or one of four manipulated messages related to AI risks. Contrary to expectations, thematically framed explicit risk news primed psychological proximity compared to both a control message and episodic frame condition. Meanwhile, episodic explicit risk frames did not prime psychological proximity over a control message. These results contest the notion that episodic frames should be associated with psychological proximity to a risk over more general framing strategies. Our results support prior research suggesting that where risk-news primes psychological proximity, the decrease in distance is in-turn associated with greater risk perception and increased likelihood of news sharing online.

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情景-主题框架对人工智能经济威胁信息共享的间接影响

公平地发展人工智能(AI)需要了解非专家如何概念化和分享有关技术科学风险的新闻。我们研究了一个模型，通过对人工智能影响和感知人工智能风险的心理接近，从框架策略的相互作用中预测在线人工智能信息共享。一组N = 412名参与者被暴露在控制信息中;或者是与人工智能风险相关的四条被操纵信息中的一条。与预期相反，与控制信息和情景框架条件相比，主题框架明确的风险新闻启动了心理接近。与此同时，情景明确的风险框架并没有在控制信息上启动心理接近。这些结果反驳了情景框架应该与心理接近风险有关的观点，而不是更一般的框架策略。我们的研究结果支持了先前的研究，即当风险新闻启动心理接近时，距离的减少反过来又与更大的风险感知和更大的在线新闻分享可能性相关。

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

Communication Studies COMMUNICATION-

CiteScore

3.70

自引率

6.20%

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