新闻媒体
公共关系
新闻
政治学
媒体关系
媒体研究
广告
互联网隐私
假新闻
社会学
业务
新闻价值
工作(物理)
框架(结构)
大众传媒
心理学
内容分析
社会化媒体
计算机科学
印刷媒体
作者
Jessica Zier,Nicholas Diakopoulos
标识
DOI:10.1080/21670811.2026.2664428
摘要
As generative AI becomes increasingly common in news media, newsrooms are trying to find the most effective and reliable ways to communicate this AI use to audiences. This paper aims to unravel audience perspectives regarding the purpose of AI transparency, motivations for desiring transparency, expectations of journalists using AI, and perceptions of different AI labeling approaches to guide the implementation of effective and responsible AI disclosure. Through in-depth interviews with a sample of news consumers in the U.S (N = 20), we find that audiences are less concerned with the technicalities of generative AI content creation but rather, based on their expectations of journalists, they value labeling that signals human-AI collaboration and visible human oversight. By focusing on audience expectations and perceptions, we contribute practical and theoretical insights to the literature on AI labeling.
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