• Media type: E-Article
  • Title: Readers’ perception of computer-generated news: Credibility, expertise, and readability
  • Contributor: Graefe, Andreas; Haim, Mario; Haarmann, Bastian; Brosius, Hans-Bernd
  • Published: SAGE Publications, 2018
  • Published in: Journalism, 19 (2018) 5, Seite 595-610
  • Language: English
  • DOI: 10.1177/1464884916641269
  • ISSN: 1464-8849; 1741-3001
  • Origination:
  • Footnote:
  • Description: We conducted an online experiment to study people’s perception of automated computer-written news. Using a 2 × 2 × 2 design, we varied the article topic (sports, finance; within-subjects) and both the articles’ actual and declared source (human-written, computer-written; between-subjects). Nine hundred eighty-six subjects rated two articles on credibility, readability, and journalistic expertise. Varying the declared source had small but consistent effects: subjects rated articles declared as human written always more favorably, regardless of the actual source. Varying the actual source had larger effects: subjects rated computer-written articles as more credible and higher in journalistic expertise but less readable. Across topics, subjects’ perceptions did not differ. The results provide conservative estimates for the favorability of computer-written news, which will further increase over time and endorse prior calls for establishing ethics of computer-written news.