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Bridging the Knowledge Gap in Artificial Intelligence: The Roles of Social Media Exposure and Information Elaboration
Science Communication ( IF 7.441 ) Pub Date : 2024-03-04 , DOI: 10.1177/10755470241232352
Wenbo Li 1 , Shan Xu 2 , Xia Zheng 1 , Ruoyu Sun 3
Affiliation  

This study examined how social media influence the knowledge gap between low and high socioeconomic status (SES) groups in artificial intelligence (AI), a highly debated scientific subject warranting immediate scholarly attention. A national survey of U.S. adults ( N = 965) was conducted. The results showed that education and social media exposure to AI information (SME) predicted greater AI knowledge, and SME did not moderate the SES-based AI knowledge gap. Furthermore, information elaboration moderated the association between SME and the AI knowledge gap. SME was associated with a smaller AI knowledge gap when information elaboration was high rather than low.

中文翻译:

弥合人工智能知识差距:社交媒体曝光和信息阐述的作用

这项研究探讨了社交媒体如何影响低社会经济地位 (SES) 群体和高社会经济地位 (SES) 群体之间在人工智能 (AI) 方面的知识差距,这是一个备受争议的科学主题,值得立即引起学术界的关注。对美国成年人(N = 965)进行了一项全国调查。结果表明,教育和社交媒体接触人工智能信息(SME)预示着更多的人工智能知识,而 SME 并没有缓解基于 SES 的人工智能知识差距。此外,信息阐述调节了中小企业与人工智能知识差距之间的关联。当信息精细程度较高而非较低时,中小企业与较小的人工智能知识差距相关。
更新日期:2024-03-04
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