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%T Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News %A Graefe, Andreas %A Bohlken, Nina %J Media and Communication %N 3 %P 50-59 %V 8 %D 2020 %K automated news; computational journalism; meta-analysis; review; robot journalism %@ 2183-2439 %U https://www.cogitatiopress.com/mediaandcommunication/article/view/3019 %X This meta-analysis summarizes evidence on how readers perceive the credibility, quality, and readability of automated news in comparison to human-written news. Overall, the results, which are based on experimental and descriptive evidence from 12 studies with a total of 4,473 participants, showed no difference in readers’ perceptions of credibility, a small advantage for human-written news in terms of quality, and a huge advantage for human-written news with respect to readability. Experimental comparisons further suggest that participants provided higher ratings for credibility, quality, and readability simply when they were told that they were reading a human-written article. These findings may lead news organizations to refrain from disclosing that a story was automatically generated, and thus underscore ethical challenges that arise from automated journalism. %C PRT %G en %9 Zeitschriftenartikel %W GESIS - http://www.gesis.org %~ SSOAR - http://www.ssoar.info