ABSTRACT News credibility as an essential democratic value has been at the forefront of scholarly endeavors over the last several decades. Despite prolific research in this area, scholarship on the credibility of algorithm-based and automated news has yet to offer empirical findings in regards to the causes and their impacts. In line with prior studies concerning news credibility, this study examines the driving forces in predicting the level of credibility on artificial intelligence (AI) news. Specially, this study unveils the effects of communicative capital, such as media use and public discussion, among audiences, as well as social capital, such as social trust, on AI news credibility. Data collected through a nationwide online survey reveals that media use through television, social network sites, and online news sites, as well as public discussion yielded a positive association with AI news credibility. Of particular interest is that social trust moderated the effect of public discussion on credibility, indicating that the relationship between discussion and credibility was even stronger for those who have a higher level of trust in others. Implications are further discussed.

中文翻译：

---

预测 AI 新闻的可信度：沟通或社会资本还是两者兼而有之？

摘要 在过去的几十年里，新闻可信度作为一种基本的民主价值一直处于学术努力的前沿。尽管在该领域进行了大量研究，但关于基于算法和自动化新闻可信度的学术研究尚未提供关于原因及其影响的实证研究结果。与先前有关新闻可信度的研究一致，本研究考察了预测人工智能 (AI) 新闻可信度水平的驱动力。特别是，本研究揭示了受众之间的传播资本（例如媒体使用和公众讨论）以及社会资本（例如社会信任）对人工智能新闻可信度的影响。通过全国在线调查收集的数据显示，通过电视、社交网站和在线新闻网站使用媒体，以及公众讨论与人工智能新闻可信度产生了积极的联系。特别令人感兴趣的是，社会信任调节了公共讨论对可信度的影响，表明对于那些对他人有更高信任度的人，讨论和可信度之间的关系甚至更强。进一步讨论了影响。