Exploring the dynamics of interaction about generative artificial intelligence between experts and the public on social media

被引:0
|
作者
Hara, Noriko [1 ]
Kim, Eugene [2 ]
Akter, Shohana [3 ]
Miyazaki, Kunihiro [4 ]
机构
[1] Indiana Univ, Luddy Sch Informat Comp & Engn, Informat & Lib Sci Dept, Bloomington, IN 47405 USA
[2] Indiana Univ, Media Sch, Bloomington, IN USA
[3] Indiana Univ, Informat Sci, Bloomington, IN USA
[4] Univ Tokyo, Tokyo, Japan
来源
JCOM-JOURNAL OF SCIENCE COMMUNICATION | 2025年 / 24卷 / 01期
关键词
Digital science communication; Public engagement with science and technology; SCIENCE COMMUNICATION; KNOWLEDGE REUSE; ENGAGEMENT; TWITTER; PARTICIPATION; COMMUNITY;
D O I
10.22323/2.24010202
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Generative Artificial Intelligence (GenAI) greatly attracts the public's interest; thus, this research investigates discussions between experts and members of the public about this new technology on social media. Using computational and manual analysis of X (formerly Twitter) data, we investigated discussion topics, the roles discussants - including both experts and public - play, and the differences between experts' posts and the public's replies. Moreover, we examined the dynamics between the discussants' roles and social media engagement measures. We found that the public is not only actively contributing to the discussion of GenAI on X, but also becoming knowledge co-producers alongside experts in the sphere.
引用
收藏
页数:22
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