{"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":4,"journal":{"name":"ACS Applied Energy Materials","volume":"327 2","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/00936502241229794","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","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：
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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