Bibtex export
@article{ Graefe2020, title = {Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News}, author = {Graefe, Andreas and Bohlken, Nina}, journal = {Media and Communication}, number = {3}, pages = {50-59}, volume = {8}, year = {2020}, issn = {2183-2439}, doi = {https://doi.org/10.17645/mac.v8i3.3019}, abstract = {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.}, keywords = {Journalismus; journalism; Nachrichten; news; Automatisierung; automation; Qualität; quality; Rezipient; recipient; Wahrnehmung; perception; Glaubwürdigkeit; credibility}}