AI-Mediated Communication: Public Perceptions and Attitudes Toward AI Generative Content in Journalism

This study explored public perceptions and attitudes toward AI-mediated communication (AI-MC), with a special focus on AI-generated content (AIGC) in journalism. As AI technologies become more embedded in current news production, understanding societal responses is crucial for guiding AI development and regulation. By reviewing selected empirical studies, this paper identified three major trends: (1) widespread public awareness of AIGC, (2) optimism about its capacity to enhance journalism, and (3) fear of AIGC from both the public and journalists’ perspectives. This study also illustrated a significant trust gap among the public due to the opaque nature of AI systems and limited public knowledge. This study contributed to the dynamic discourse on AI-MC and suggested a more ethical algorithm design and timely legislation to promote responsible AI-MC.

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Publication Details

Journal
Media studies.
Published
2025-06-16
DOI
https://doi.org/10.70267/ms.20250202.0111
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Mediated Communication: Public Perceptions and Attitudes Toward AI Generative Content in Journalism

Zhanqi Cheng
Media studies.
Ethics and Social Impacts of AI
article

AI-Mediated Communication: Public Perceptions and Attitudes Toward AI Generative Content in Journalism

Zhanqi Cheng
article en

Abstract

This study explored public perceptions and attitudes toward AI-mediated communication (AI-MC), with a special focus on AI-generated content (AIGC) in journalism. As AI technologies become more embedded in current news production, understanding societal responses is crucial for guiding AI development and regulation. By reviewing selected empirical studies, this paper identified three major trends: (1) widespread public awareness of AIGC, (2) optimism about its capacity to enhance journalism, and (3) fear of AIGC from both the public and journalists’ perspectives. This study also illustrated a significant trust gap among the public due to the opaque nature of AI systems and limited public knowledge. This study contributed to the dynamic discourse on AI-MC and suggested a more ethical algorithm design and timely legislation to promote responsible AI-MC.

Media studies.Vol. 2(2)
Columbia University (US)
Openalex Percentile: Top 87%
Ethics and Social Impacts of AI
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