The Framing in Media Policy Narratives of Artificial Intelligence Generated Content: A Comparative Between Traditional Media and Social Media in China

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ABSTRACT Artificial intelligence generated content (AIGC) technology has faced both acclaim and controversy since its inception. The media narratives and framing drive public discussions and policy debates on new technologies; studying how the media describe and frame AIGC aids in deepening the understanding of how media, as policy actors, engage in debates on emerging technology policies and the intrinsic relationship between media narratives and media frames. By creating a comprehensive analytical framework that incorporates the Narrative Policy Framework and the “beneficial‐risky” media frames, we analyzed the coverage of AIGC by Chinese traditional media (state and local media) and social media creators. The results indicate that, compared to state media, local media and social media exhibit more negative or silent attitudes toward AIGC and publish more narratives portraying villains or victims, whereas state media prefer hero narratives. Media narratives that include heroes are associated with beneficial frames, while villain narratives are linked with more risky frames. Furthermore, the analysis confirmed differences among media outlets, whether acting as information channels or policy debaters, in their use of beneficial/risky frames. This study enriches research on media policy narratives and provides new insights into the nuanced relationship between media narratives and media framing.

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