Generative AI is becoming more and more involved in newsrooms, and the implications of it on framing, sourcing, and trust are under-researched. The paper is a combination of content analysis (politics, health, technology), randomized experiment (n=800), and semi-structured interviews with reporters. The findings indicated that AI-mediated articles were more understandable and coherent but lacked diversity in the sources and were more based on official voices. AI-only stories were otherwise penalized in terms of trust, and AI+editor stories minimized this difference. Interviews highlighted the positive aspects of AI as a speedy and innovative tool, but also mentioned prejudice, illusions, and disclosure expenses. The paper recommends the use of AI alongside editorial values, disclosure, and source variability as a way of ensuring trust. The policy suggestions are to enhance the quality of provenance and to promote diversity of documented sources in AI-assisted journalism.
Saeed et al. (Mon,) studied this question.
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