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Readers’ perception of computer-generated news: Credibility, expertise, and readability

Graefe, Andreas ; Haim, Mario ; Haarmann, Bastian ; Brosius, Hans-Bernd

Journalism (London, England), 2018-05, Vol.19 (5), p.595-610 [Periódico revisado por pares]

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Título:
Readers’ perception of computer-generated news: Credibility, expertise, and readability
Autor: Graefe, Andreas ; Haim, Mario ; Haarmann, Bastian ; Brosius, Hans-Bernd
É parte de: Journalism (London, England), 2018-05, Vol.19 (5), p.595-610
Descrição: 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.
Editor: London, England: SAGE Publications
Idioma: Inglês

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