Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework

Jia, Chenyan; Liu, Ruibo

[journal article]

dc.contributor.author	Jia, Chenyan	de
dc.contributor.author	Liu, Ruibo	de
dc.date.accessioned	2022-03-24T08:49:07Z
dc.date.available	2022-03-24T08:49:07Z
dc.date.issued	2021	de
dc.identifier.issn	2183-2439	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/78192
dc.description.abstract	The relative hostile media effect suggests that partisans tend to perceive the bias of slanted news differently depending on whether the news is slanted in favor of or against their sides. To explore the effect of an algorithmic vs. human source on hostile media perceptions, this study conducts a 3 (author attribution: human, algorithm, or human-assisted algorithm) x 3 (news attitude: pro-issue, neutral, or anti-issue) mixed factorial design online experiment (N = 511). This study uses a transformer-based adversarial network to auto-generate comparable news headlines. The framework was trained with a dataset of 364,986 news stories from 22 mainstream media outlets. The results show that the relative hostile media effect occurs when people read news headlines attributed to all types of authors. News attributed to a sole human source is perceived as more credible than news attributed to two algorithm-related sources. For anti-Trump news headlines, there exists an interaction effect between author attribution and issue partisanship while controlling for people’s prior belief in machine heuristics. The difference of hostile media perceptions between the two partisan groups was relatively larger in anti-Trump news headlines compared with pro-Trump news headlines.	de
dc.language	en	de
dc.subject.ddc	Publizistische Medien, Journalismus,Verlagswesen	de
dc.subject.ddc	News media, journalism, publishing	en
dc.subject.other	algorithms; automated journalism; computational method; hostile media effect; source credibility	de
dc.title	Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.identifier.url	https://www.cogitatiopress.com/mediaandcommunication/article/view/4164	de
dc.source.journal	Media and Communication
dc.source.volume	9	de
dc.publisher.country	PRT	de
dc.source.issue	4	de
dc.subject.classoz	Kommunikatorforschung, Journalismus	de
dc.subject.classoz	Communicator Research, Journalism	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	170-181	de
internal.identifier.classoz	1080406
internal.identifier.journal	793
internal.identifier.document	32
internal.identifier.ddc	070
dc.source.issuetopic	Algorithmic Systems in the Digital Society	de
dc.identifier.doi	https://doi.org/10.17645/mac.v9i4.4164	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	1
internal.dda.reference	https://www.cogitatiopress.com/mediaandcommunication/oai/@@oai:ojs.cogitatiopress.com:article/4164
ssoar.urn.registration	false	de

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