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dc.contributor.authorKozyreva, A
dc.contributor.authorHerzog, SM
dc.contributor.authorLewandowsky, S
dc.contributor.authorHertwig, R
dc.contributor.authorLorenz-Spreen, P
dc.contributor.authorLeiser, M
dc.contributor.authorReifler, J
dc.date.accessioned2023-04-27T12:03:59Z
dc.date.issued2023-02-07
dc.date.updated2023-04-27T11:22:42Z
dc.description.abstractIn online content moderation, two key values may come into conflict: protecting freedom of expression and preventing harm. Robust rules based in part on how citizens think about these moral dilemmas are necessary to deal with this conflict in a principled way, yet little is known about people's judgments and preferences around content moderation. We examined such moral dilemmas in a conjoint survey experiment where US respondents (N = 2, 564) indicated whether they would remove problematic social media posts on election denial, antivaccination, Holocaust denial, and climate change denial and whether they would take punitive action against the accounts. Respondents were shown key information about the user and their post as well as the consequences of the misinformation. The majority preferred quashing harmful misinformation over protecting free speech. Respondents were more reluctant to suspend accounts than to remove posts and more likely to do either if the harmful consequences of the misinformation were severe or if sharing it was a repeated offense. Features related to the account itself (the person behind the account, their partisanship, and number of followers) had little to no effect on respondents' decisions. Content moderation of harmful misinformation was a partisan issue: Across all four scenarios, Republicans were consistently less willing than Democrats or independents to remove posts or penalize the accounts that posted them. Our results can inform the design of transparent rules for content moderation of harmful misinformation.en_GB
dc.description.sponsorshipVolkswagen Foundationen_GB
dc.description.sponsorshipHumboldt Foundationen_GB
dc.description.sponsorshipEuropean Research Council (ERC)en_GB
dc.format.extente2210666120-
dc.format.mediumPrint-Electronic
dc.identifier.citationVol. 120(7), article e2210666120en_GB
dc.identifier.doihttps://doi.org/10.1073/pnas.2210666120
dc.identifier.grantnumber101020961en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133037
dc.identifierORCID: 0000-0002-1116-7346 (Reifler, Jason)
dc.language.isoenen_GB
dc.publisherNational Academy of Sciencesen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36749721en_GB
dc.relation.urlhttps://osf.io/2s4vn/en_GB
dc.rights© 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).en_GB
dc.subjectconjoint experimenten_GB
dc.subjectcontent moderationen_GB
dc.subjectharmful contenten_GB
dc.subjectmoral dilemmaen_GB
dc.subjectonline speechen_GB
dc.titleResolving content moderation dilemmas between free speech and harmful misinformationen_GB
dc.typeArticleen_GB
dc.date.available2023-04-27T12:03:59Z
dc.identifier.issn0027-8424
exeter.article-numberARTN e2210666120
exeter.place-of-publicationUnited States
dc.descriptionThis is the final version. Available on open access from the National Academy of Sciences via the DOI in this recorden_GB
dc.descriptionData, Materials, and Software Availability: Anonymized data and code are available at OSF (https://osf.io/2s4vn/).en_GB
dc.identifier.eissn1091-6490
dc.identifier.journalProceedings of the National Academy of Sciences (PNAS)en_GB
dc.relation.ispartofProc Natl Acad Sci U S A, 120(7)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-11-09
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-02-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-04-27T12:00:29Z
refterms.versionFCDVoR
refterms.dateFOA2023-04-27T12:04:04Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-02-07


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© 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
Except where otherwise noted, this item's licence is described as © 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).