The growing adoption of artificial intelligence in journalism has dramatically changed the way news is produced. Despite the recent proliferation of research on automated journalism, debate continues about how audiences perceive and evaluate news purportedly written by machines compared to the work of human authors. Based on a review of 30 experimental studies, this meta-analysis shows that machine authorship had a negative, albeit small, effect on credibility perceptions. Furthermore, machine authorship had a null effect on news evaluations, although this effect was significant and stronger (more negative) when (a) the news covered socio-political topics (vs. environmental topics) and (b) the actual source of the news articles was a machine (vs. a human). These findings are discussed in light of theoretical accounts of human–machine communication and practical implications for news media.

中文翻译：

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机器创作对新闻受众认知的影响：实验研究的荟萃分析

人工智能在新闻业的日益普及极大地改变了新闻的制作方式。尽管最近关于自动化新闻的研究激增，但关于受众如何看待和评估据称由机器撰写的新闻与人类作者的作品相比的争论仍在继续。基于对 30 项实验研究的回顾，这项荟萃分析表明，机器作者身份对可信度认知有负面影响，尽管影响很小。此外，机器作者对新闻评估没有影响，尽管当（a）新闻涵盖社会政治主题（相对于环境主题）和（b）新闻的实际来源时，这种影响显着且更强（更负面）文章是一台机器（相对于人类）。这些发现是根据人机通信的理论解释和对新闻媒体的实际影响进行讨论的。