{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T19:22:54Z","timestamp":1785439374352,"version":"3.56.0"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T00:00:00Z","timestamp":1658448000000},"content-version":"vor","delay-in-days":21,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Given the scale of user-generated content online, the use of artificial intelligence (AI) to flag problematic posts is inevitable, but users do not trust such automated moderation of content. We explore if (a) involving human moderators in the curation process and (b) affording \u201cinteractive transparency,\u201d wherein users participate in curation, can promote appropriate reliance on AI. We test this through a 3 (Source: AI, Human, Both) \u00d7 3 (Transparency: No Transparency, Transparency-Only, Interactive Transparency) \u00d7 2 (Classification Decision: Flagged, Not Flagged) between-subjects online experiment (N\u2009=\u2009676) involving classification of hate speech and suicidal ideation. We discovered that users trust AI for the moderation of content just as much as humans, but it depends on the heuristic that is triggered when they are told AI is the source of moderation. We also found that allowing users to provide feedback to the algorithm enhances trust by increasing user agency.<\/jats:p>","DOI":"10.1093\/jcmc\/zmac010","type":"journal-article","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T13:59:46Z","timestamp":1658498386000},"source":"Crossref","is-referenced-by-count":147,"title":["When AI moderates online content: effects of human collaboration and interactive transparency on user trust"],"prefix":"10.1093","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8115-6303","authenticated-orcid":false,"given":"Maria D","family":"Molina","sequence":"first","affiliation":[{"name":"College of Communication Arts and Sciences, Michigan State University , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5779-8864","authenticated-orcid":false,"given":"S Shyam","family":"Sundar","sequence":"additional","affiliation":[{"name":"Bellisario College of Communications, The Pennsylvania State University, University Park James P. Jimirro Professor of Media Effects, Donald P. , PA 16802-5101, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"issue":"2","key":"2022072213593934000_zmac010-B1","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s12559-018-9619-0","article-title":"Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust","volume":"11","author":"Abbass","year":"2019","journal-title":"Cognitive Computation"},{"issue":"3","key":"2022072213593934000_zmac010-B2","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1177\/1461444816676645","article-title":"Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability","volume":"20","author":"Ananny","year":"2018","journal-title":"New Media & Society"},{"key":"2022072213593934000_zmac010-B3","first-page":"1","author":"Binns","year":"2018"},{"key":"2022072213593934000_zmac010-B4","author":"Chen","year":"2018"},{"key":"2022072213593934000_zmac010-B5","doi-asserted-by":"crossref","DOI":"10.29173\/irie416","article-title":"Ethical and technical challenges of AI in tackling hate speech","volume":"29","author":"Cortiz","year":"2021","journal-title":"The International Review of Information Ethics"},{"key":"2022072213593934000_zmac010-B6","first-page":"3163","author":"DeVito","year":"2017"},{"key":"2022072213593934000_zmac010-B7","first-page":"1","author":"Eslami","year":"2019"},{"issue":"2","key":"2022072213593934000_zmac010-B5902403","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1177\/0003122412438225","article-title":"Politicization of science in the public sphere: A study of public trust in the United States, 1974 to 2010","author":"Gauchat","journal-title":"American Sociological Review"},{"issue":"2","key":"2022072213593934000_zmac010-B8","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1609\/aimag.v40i2.2850","article-title":"DARPA\u2019s explainable artificial intelligence program","volume":"40","author":"Gunning","year":"2019","journal-title":"AI Magazine"},{"key":"2022072213593934000_zmac010-B9","author":"Gollatz","year":"2018"},{"key":"2022072213593934000_zmac010-B10","volume-title":"Introduction to mediation, moderation, and conditional process analysis: A regression-based approach","author":"Hayes","year":"2018","edition":"2nd ed."},{"key":"2022072213593934000_zmac010-B11","author":"Hoofnagle","year":"2008"},{"issue":"6","key":"2022072213593934000_zmac010-B12","doi-asserted-by":"crossref","first-page":"1870","DOI":"10.1073\/pnas.1807185116","article-title":"Scaling up analogical innovation with crowds and AI","volume":"116","author":"Kittur","year":"2019","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"5","key":"2022072213593934000_zmac010-B13","first-page":"1353","article-title":"Regulating online content moderation","volume":"106","author":"Langvardt","year":"2018","journal-title":"Georgetown Law Journal"},{"issue":"1","key":"2022072213593934000_zmac010-B14","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1518\/hfes.46.1.50.30392","article-title":"Trust in automation: Designing for appropriate reliance","volume":"46","author":"Lee","year":"2004","journal-title":"Human Factors"},{"key":"2022072213593934000_zmac010-B15","doi-asserted-by":"crossref","DOI":"10.1177\/2053951718756684","article-title":"Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management","volume":"5","author":"Lee","year":"2018","journal-title":"Big Data & Society"},{"issue":"4","key":"2022072213593934000_zmac010-B16","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1007\/s13347-017-0279-x","article-title":"Fair, transparent, and accountable algorithmic decision-making processes: The premise, the proposed solutions, and the open challenges","volume":"31","author":"Lepri","year":"2018","journal-title":"Philosophy & Technology"},{"key":"2022072213593934000_zmac010-B17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.techsoc.2020.101410","article-title":"Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory","volume":"63","author":"Li","year":"2020","journal-title":"Technology in Society"},{"key":"2022072213593934000_zmac010-B18","doi-asserted-by":"crossref","DOI":"10.4324\/9781315884172","volume-title":"Social media: Communication, sharing and visibility","author":"Meikle","year":"2016"},{"issue":"2","key":"2022072213593934000_zmac010-B19","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1111\/jcom.12147","article-title":"How does interactivity persuade? 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