VTechWorks staff will be away for the winter holidays starting Tuesday, December 24, 2024, through Wednesday, January 1, 2025, and will not be replying to requests during this time. Thank you for your patience, and happy holidays!
 

Selective rating: Partisan bias in crowdsourced news rating systems

dc.contributor.authorDuncan, Megan A.en
dc.date.accessioned2021-12-27T20:17:01Zen
dc.date.available2021-12-27T20:17:01Zen
dc.date.issued2021-12-27en
dc.date.updated2021-12-27T20:17:00Zen
dc.description.abstractCrowdsourced news rating systems have been suggested as a solution to reducing the amount of misinformation online audiences see. This study expands previous research crowdsourcing by looking at how characteristics of the rating system affect user behavior. In an experiment (N=1,021), two parameters of the rating system were manipulated. First, users were shown different varieties of news brands on the “menu” they were asked to rate. Second, participation was mandatory for half and voluntary for others. Results indicate partisans rated more news brands when they saw an ideologically dissimilar news menu than one that matched their ideology. Further, the trustworthiness rating of the mainstream news menu decreased when participants had a choice to participate rather than were forced. These results have important implications for understanding how users participate in crowdsourcing news credibility.en
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1080/19331681.2021.1997867en
dc.identifier.eissn1933-169Xen
dc.identifier.orcidDuncan, Megan [0000-0002-0547-2387]en
dc.identifier.urihttp://hdl.handle.net/10919/107272en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCrowdsourcing ratingsen
dc.subjectpartisan news audiencesen
dc.subjectnews credibilityen
dc.subjectmisinformationen
dc.subjectselective expressionen
dc.subjectcorrective action hypothesisen
dc.titleSelective rating: Partisan bias in crowdsourced news rating systemsen
dc.title.serialJournal of Information Technology and Politicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dcterms.dateAccepted2021-10-08en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciencesen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciences/Communicationen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciences/CLAHS T&R Facultyen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Selective_rating_accepted.pdf
Size:
592.16 KB
Format:
Adobe Portable Document Format
Description:
Accepted version