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Moderating Uncivil User Comments by Humans or Machines? The Effects of Moderation Agent on Perceptions of Bias and Credibility in News Content
Digital Journalism ( IF 6.847 ) Pub Date : 2020-12-04 , DOI: 10.1080/21670811.2020.1851279
Sai Wang 1
Affiliation  

Abstract

Studies have shown that uncivil comments under an online news article may result in biased perceptions of the news content, and explicit comment moderation has the potential to mitigate this adverse effect. Using an online experiment, the present study extends this line of research with the examination of how interface cues signalling different agents (human vs. machine) in moderating uncivil comments affect a reader’s judgment of the news and how prior belief in machine heuristic moderates such effects. The results indicated that perceptions of news bias were attenuated when uncivil comments were moderated by a machine (as opposed to a human) agent, which subsequently engendered greater perceived credibility of the news story. Additionally, such indirect effects were more prominent among readers who strongly believed that machine operations are generally accurate and reliable than those with a weaker prior belief in this rule of thumb.



中文翻译:

通过人或机器审核不文明的用户评论?主持人对新闻内容中偏见和可信度的影响

摘要

研究表明,在线新闻文章下的不文明评论可能会导致对新闻内容的偏见,而明确的评论缓和则有可能减轻这种不利影响。通过在线实验,本研究扩展了这一研究领域,研究了接口信号如何在不同寻常的评论中缓和不同人(人与机器)的信号,从而影响读者对新闻的判断,以及机器启发式的先验信念如何缓解这种影响。 。结果表明,当通过机器(而不是人类)代理程序来缓和不文明的评论时,对新闻偏见的感知就会减弱,从而使新闻报道的可信度更高。另外,

更新日期:2021-01-16
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