{"title":"The Impact of Machine Authorship on News Audience Perceptions: A Meta-Analysis of Experimental Studies","authors":"Sai Wang, Guanxiong Huang","doi":"10.1177/00936502241229794","DOIUrl":null,"url":null,"abstract":"The growing adoption of artificial intelligence in journalism has dramatically changed the way news is produced. Despite the recent proliferation of research on automated journalism, debate continues about how audiences perceive and evaluate news purportedly written by machines compared to the work of human authors. Based on a review of 30 experimental studies, this meta-analysis shows that machine authorship had a negative, albeit small, effect on credibility perceptions. Furthermore, machine authorship had a null effect on news evaluations, although this effect was significant and stronger (more negative) when (a) the news covered socio-political topics (vs. environmental topics) and (b) the actual source of the news articles was a machine (vs. a human). These findings are discussed in light of theoretical accounts of human–machine communication and practical implications for news media.","PeriodicalId":48323,"journal":{"name":"Communication Research","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communication Research","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/00936502241229794","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
The growing adoption of artificial intelligence in journalism has dramatically changed the way news is produced. Despite the recent proliferation of research on automated journalism, debate continues about how audiences perceive and evaluate news purportedly written by machines compared to the work of human authors. Based on a review of 30 experimental studies, this meta-analysis shows that machine authorship had a negative, albeit small, effect on credibility perceptions. Furthermore, machine authorship had a null effect on news evaluations, although this effect was significant and stronger (more negative) when (a) the news covered socio-political topics (vs. environmental topics) and (b) the actual source of the news articles was a machine (vs. a human). These findings are discussed in light of theoretical accounts of human–machine communication and practical implications for news media.
期刊介绍：
Empirical research in communication began in the 20th century, and there are more researchers pursuing answers to communication questions today than at any other time. The editorial goal of Communication Research is to offer a special opportunity for reflection and change in the new millennium. To qualify for publication, research should, first, be explicitly tied to some form of communication; second, be theoretically driven with results that inform theory; third, use the most rigorous empirical methods; and fourth, be directly linked to the most important problems and issues facing humankind. Critieria do not privilege any particular context; indeed, we believe that the key problems facing humankind occur in close relationships, groups, organiations, and cultures.
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