Quality Perceptions and Intended Engagement in Response to AI-Generated and AI-Assisted News
arXiv:2409.03500v4 Announce Type: replace-cross Abstract: The increasing use of artificial intelligence (AI) in news production raises important questions about how audiences perceive and respond to AI-generated journalism. This preregistered survey experiment (N = 599, German-speaking Switzerland) examines (i) perceptions of article quality (measured as credibility, readability, and expertise) across news excerpts that were human-written, AI-assisted, or fully AI-generated, and (ii) self-reported intentions to engage following disclosure of AI involvement. Participants rated two short news ex
The increasing integration of AI into content creation, particularly in news, necessitates understanding audience perception and trust, an urgent concern as AI capabilities advance.
This research provides critical data on audience reception to AI-generated news, directly impacting the adoption, regulatory frameworks, and ethical guidelines for AI in media.
News organizations must now factor in granular audience perceptions of credibility and engagement when deploying AI for content creation, influencing editorial strategies and disclosure policies.
- · AI ethicists
- · Trustworthy AI development platforms
- · News organizations with strong disclosure practices
- · News organizations relying solely on AI for content at scale
- · Unregulated AI content platforms
- · Traditional journalism without AI integration
Audience trust in news sources becomes highly segmented based on the perceived origin of content (human, AI-assisted, AI-generated).
Media organizations develop new editorial workflows and disclosure standards specifically for AI-assisted and AI-generated content to maintain credibility.
Public literacy around AI's role in media increases, leading to more discerning news consumption habits and potentially new regulatory demands for AI content labeling.
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Read at arXiv cs.AI