{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T03:27:32Z","timestamp":1776137252312,"version":"3.50.1"},"reference-count":78,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Capes Foundation","award":["23078.020656\/2014-54"],"award-info":[{"award-number":["23078.020656\/2014-54"]}]},{"DOI":"10.13039\/100000002","name":"US National Institutes of Health","doi-asserted-by":"crossref","award":["5P50NS019632"],"award-info":[{"award-number":["5P50NS019632"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>\u2002<\/jats:title><jats:p>Although artificial intelligence is blamed for many societal challenges, it also has underexplored potential in political contexts online. We rely on six preregistered experiments in three countries (N\u2009=\u20096,728) to test the expectation that AI and AI-assisted humans would be perceived more favorably than humans (a) across various content moderation, generation, and recommendation scenarios and (b) when exposing individuals to counter-attitudinal political information. Contrary to the preregistered hypotheses, participants see human agents as more just than AI across the scenarios tested, with the exception of news recommendations. At the same time, participants are not more open to counter-attitudinal information attributed to AI rather than a human or an AI-assisted human. These findings, which\u2014with minor variations\u2014emerged across countries, scenarios, and issues, suggest that human intervention is preferred online and that people reject dissimilar information regardless of its source. We discuss the theoretical and practical implications of these findings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Lay Summary<\/jats:title><jats:p>In the era of unprecedented political divides and misinformation, artificial intelligence (AI) and algorithms are often seen as the culprits. In contrast to these dominant narratives, we argued that AI might be seen as being less biased than a human in online political contexts. We relied on six preregistered experiments in three countries (the United Sates, Spain, Poland) to test whether internet users perceive AI and AI-assisted humans more favorably than simply humans; (a) across various distinct scenarios online, and (b) when exposing people to opposing political information on a range of contentious issues. Contrary to our expectations, human agents were consistently perceived more favorably than AI except when recommending news. These findings suggest that people prefer human intervention in most online political contexts.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jcmc\/zmab006","type":"journal-article","created":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T21:21:21Z","timestamp":1620422481000},"page":"223-243","source":"Crossref","is-referenced-by-count":42,"title":["Can AI Enhance People\u2019s Support for Online Moderation and Their Openness to Dissimilar Political Views?"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5456-4483","authenticated-orcid":false,"given":"Magdalena","family":"Wojcieszak","sequence":"first","affiliation":[{"name":"Department of Communication, University of California, Davis, CA 95618, USA"},{"name":"Amsterdam School of Communication Research, University of Amsterdam, 1018 WV Amsterdam, The Netherlands"}]},{"given":"Arti","family":"Thakur","sequence":"additional","affiliation":[{"name":"Department of Communication, University of California, Davis, CA 95618, USA"}]},{"given":"Jo\u00e3o Fernando","family":"Ferreira Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Department of Media & Communication, Erasmus University Rotterdam, Rotterdam, 3000 DR, The Netherlands"}]},{"given":"Andreu","family":"Casas","sequence":"additional","affiliation":[{"name":"Department of Communication Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands"}]},{"given":"Ericka","family":"Menchen-Trevino","sequence":"additional","affiliation":[{"name":"School of Communication, American University, Washington, DC 20016, USA"}]},{"given":"& Miriam","family":"Boon","sequence":"additional","affiliation":[{"name":"Amsterdam School of Communication Research\u2002, University of Amsterdam, 1018 WV Amsterdam, The Netherlands"}]}],"member":"286","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"key":"2021090918574712400_zmab006-B1","first-page":"122","article-title":"Statistical modeling of harassment against Reddit moderators","volume":"2020","author":"Almerekhi","year":"2020","journal-title":"Companion Proceedings of the Web Conference"},{"issue":"3","key":"2021090918574712400_zmab006-B2","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1007\/s00146-019-00931-w","article-title":"In AI we trust? 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