Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News

Media and Communication

Nina Bohlken¹  Andreas Graefe¹ 

[1] Business Faculty, Macromedia University of Applied Sciences, Germany;

关键词: automated news;    computational journalism;    credibility;    journalism;    meta-analysis;    perception;    quality;    review;    robot journalism;   

DOI  :  10.17645/mac.v8i3.3019

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown