As artificial intelligence (AI) is increasingly integrated into news production, calls for transparency about the use of AI have gained considerable traction. Recent studies suggest that AI disclosures can lead to a ``transparency dilemma'', where disclosure reduces readers' trust. However, little is known about how the \textit{level of detail} in AI disclosures influences trust and contributes to this dilemma within the news context. In this 3$\times$2$\times$2 mixed factorial study with 40 participants, we investigate how three levels of AI disclosures (none, one-line, detailed) across two types of news (politics and lifestyle) and two levels of AI involvement (low and high) affect news readers' trust. We measured trust using the News Media Trust questionnaire, along with two decision behaviors: source-checking and subscription decisions. Questionnaire responses and subscription rates showed a decline in trust only for detailed AI disclosures, whereas source-checking behavior increased for both one-line and detailed disclosures, with the effect being more pronounced for detailed disclosures. Insights from semi-structured interviews suggest that source-checking behavior was primarily driven by interest in the topic, followed by trust, whereas trust was the main factor influencing subscription decisions. Around two-thirds of participants expressed a preference for detailed disclosures, while most participants who preferred one-line indicated a need for detail-on-demand disclosure formats. Our findings show that not all AI disclosures lead to a transparency dilemma, but instead reflect a trade-off between readers' desire for more transparency and their trust in AI-assisted news content.
翻译:随着人工智能(AI)日益融入新闻生产,关于AI使用透明化的呼声已获得相当大的关注。近期研究表明,AI披露可能导致一种“透明度困境”,即披露会降低读者的信任。然而,在新闻语境中,关于AI披露的\textit{详略程度}如何影响信任并促成这一困境,目前知之甚少。在这项包含40名参与者的3$\times$2$\times$2混合因子研究中,我们探究了三种AI披露水平(无披露、单行说明、详细说明)在两种新闻类型(政治与生活)和两种AI参与程度(低与高)下如何影响新闻读者的信任。我们使用新闻媒体信任问卷以及两种决策行为——来源核查与订阅决策——来测量信任。问卷回应与订阅率显示,仅详细AI披露导致了信任下降,而来源核查行为在单行说明和详细说明下均有所增加,且详细披露的效果更为显著。半结构化访谈的见解表明,来源核查行为主要由对话题的兴趣驱动,其次是信任,而信任是影响订阅决策的主要因素。约三分之二的参与者表示偏好详细披露,而大多数偏好单行说明的参与者则表明需要按需详情的披露格式。我们的研究结果表明,并非所有AI披露都会导致透明度困境,而是反映了读者对更高透明度的需求与他们对AI辅助新闻内容的信任之间的权衡。