A Study on the Acceptance and Trust of AIGC-Generated News
Main Article Content
Keywords
AIGC-generated news, news acceptance, news trust, mediating effect
Abstract
In the era of intelligent media, the issues of acceptance and trust in AIGC-generated news content have become a topic of significant academic interest. Therefore, this paper conducts a multilevel examination of issues related to AI-generated news; from the audience’s perspective, a survey was conducted among 452 domestic users. This study employed a questionnaire and descriptive statistics for empirical analysis and revealed that personal characteristics such as age, educational background, and frequency of exposure significantly and positively affected audience acceptance and trust. More notably, this study identified the key factors for enhancing public trust: content authenticity and technological maturity. It also highlighted that trust served as a crucial mediating variable in the relationship between AIGC-generated news and its audience; the lack of emotional resonance and authenticity in AI news was a primary concern for the public. Consequently, this research provided valuable insights for media organizations seeking to optimize industry standards for AIGC news production.
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