Man vs. Machine? The Impact of Algorithm Authorship on News Credibility
| Autor: | Shangyuan Wu, Edson C. Tandoc, Lim Jia Yao |
|---|---|
| Přispěvatelé: | Wee Kim Wee School of Communication and Information |
| Rok vydání: | 2020 |
| Předmět: |
Operations research
Computer science business.industry Journalism Communication 05 social sciences Communication [Social sciences] 050801 communication & media studies Automation 0506 political science 0508 media and communications Credibility 050602 political science & public administration Objectivity (science) business Budget constraint |
| Zdroj: | Digital Journalism. 8:548-562 |
| ISSN: | 2167-082X 2167-0811 |
| DOI: | 10.1080/21670811.2020.1762102 |
| Popis: | Facing budget constraints, many traditional news organizations are turning their eyes on automation to streamline manpower, cut down on costs, and improve efficiency. But how does automation fit into traditional values of journalism and how does it affect perceptions of credibility, an important currency valued by the journalistic field? This study explores this question using a 3 (declared author: human vs. machine vs. combined) × 2 (objectivity: objective vs. not objective) between-subjects experimental design involving 420 participants drawn from the national population of Singapore. The analysis found no main differences in perceived source credibility between algorithm, human, and mixed authors. Similarly, news articles attributed to an algorithm, a human journalist, and a combination of both showed no differences in message credibility. However, the study found an interaction effect between type of declared author and news objectivity. When the article is presented to be written by a human journalist, source and message credibility remain stable regardless of whether the article was objective or not objective. However, when the article is presented to be written by an algorithm, source and message credibility are higher when the article is objective than when the article is not objective. Findings for combined authorship are split: there were no differences between objective and non-objective articles when it comes to message credibility. However, combined authorship is rated higher in source credibility when the article is not objective than when the article is objective. Ministry of Education (MOE) This research is supported by the corresponding author’s Tier 1 Grant (T1-002-125-05) awarded by the Singapore’s Ministry of Education. |
| Databáze: | OpenAIRE |
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