{"title":"The role of affective and cognitive involvement in the mitigating effects of AI source cues on hostile media bias","authors":"Matthew J.A. Craig , Mina Choi","doi":"10.1016/j.tele.2024.102097","DOIUrl":null,"url":null,"abstract":"<div><p>With an experimental design, this study examined the effect of source cues (Human vs. AI) on hostile media bias through heuristic machine evaluation of machine and human social media profiles. This study also explored the effects of affective and cognitive involvement as moderators along with media source-self ideological incongruity (source incongruity). A 2 (human vs. AI) x 3 (CNN vs. USA Today vs. Fox News) experimental study was conducted (<em>n</em> = 434). Participants exhibited less hostile media bias when presented with a news story with AI source cues through heuristic machine evaluation. The mitigating effect was stronger for those viewing news from an incongruent news source. Such moderated mediated effect was further moderated by two types of involvement (i.e., affective and cognitive). Implications for future research surrounding the two types of involvement, source incongruity, machine heuristic evaluations, and hostile media bias are discussed in light of our findings.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"88 ","pages":"Article 102097"},"PeriodicalIF":7.6000,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585324000017","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
With an experimental design, this study examined the effect of source cues (Human vs. AI) on hostile media bias through heuristic machine evaluation of machine and human social media profiles. This study also explored the effects of affective and cognitive involvement as moderators along with media source-self ideological incongruity (source incongruity). A 2 (human vs. AI) x 3 (CNN vs. USA Today vs. Fox News) experimental study was conducted (n = 434). Participants exhibited less hostile media bias when presented with a news story with AI source cues through heuristic machine evaluation. The mitigating effect was stronger for those viewing news from an incongruent news source. Such moderated mediated effect was further moderated by two types of involvement (i.e., affective and cognitive). Implications for future research surrounding the two types of involvement, source incongruity, machine heuristic evaluations, and hostile media bias are discussed in light of our findings.
本研究采用实验设计，通过对机器和人类社交媒体资料进行启发式机器评估，考察了来源线索（人类与人工智能）对敌意媒体偏见的影响。本研究还探讨了情感和认知参与的调节作用，以及媒体来源与自身意识形态不一致性（来源不一致性）的影响。我们进行了一项 2（人类 vs. 人工智能）x 3（CNN vs. 《今日美国》 vs. 《福克斯新闻》）的实验研究（n = 434）。通过启发式机器评估，参与者在看到带有人工智能来源线索的新闻报道时，表现出较少的敌意媒体偏见。对于那些从不相干的新闻来源观看新闻的人来说，这种缓解效果更强。这种中介效应还受到两种参与类型（即情感参与和认知参与）的调节。根据我们的研究结果，讨论了围绕两种参与类型、新闻来源不一致、机器启发式评价和敌意媒体偏见的未来研究意义。
期刊介绍：
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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