Andreas Graefe|Mario Haim|Bastian Haarmann|Hans?Bernd Brosius
Readers’ perception of computer-generated news: Credibility, expertise, and readability
Ludwig-Maximilians-Universität München|Hochschule Macromedia|Columbia University|LMU Klinikum|Ludwig-Maximilians-Universität München|Fraunhofer Institute for Communication, Information Processing and Ergonomics|LMU Klinikum|Ludwig-Maximilians-Universität München
conducted online experiment study peoples perception automated computerwritten news using 2 2 2 design varied article topic sports finance withinsubjects articles actual declared source humanwritten computerwritten betweensubjects nine hundred eightysix subjects rated two articles credibility readability journalistic expertise varying declared source small consistent effects subjects rated articles declared human written always favorably regardless actual source varying actual source larger effects subjects rated computerwritten articles credible higher journalistic expertise less readable across topics subjects perceptions differ results provide conservative estimates favorability computerwritten news increase time endorse prior calls establishing ethics computerwritten news