Perceived Social Media Bias, Social Identity Threat, and Conspiracy Theory Ideation During the COVID-19 Pandemic

dc.contributor.authorCraig, Kevin
dc.contributor.authorSadovykh , Valeria
dc.date.accessioned2021-12-24T18:14:15Z
dc.date.available2021-12-24T18:14:15Z
dc.date.issued2022-01-04
dc.description.abstractSocial media organizations have an obligation to filter and sometimes exclude content, often based on machine learning algorithms. This has resulted in perceptions of bias in social media. When individuals perceive that a social media system is designed to exclude their point of view, they may experience a loss of self-worth, based on their excluded point of view. As a result, they may resist and avoid the technology that seems biased against them to prevent further loss of self-worth. They might also believe in conspiracies about why social media is marginalizing their point of view and find new self-worth as a conspiracy theorist. Data from 225 individuals who are interested in the risks associated with vaccines indicate that Perceived Bias presents a Social Identity Threat, which, in turn, is associated with Resistance to IT and Conspiracy Theorist Ideation.
dc.format.extent10 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2022.726
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80066
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBalancing the Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance
dc.subjectbias
dc.subjectconspiracy theory
dc.subjectmachine learning
dc.subjectresistance to it
dc.subjectsocial identity
dc.titlePerceived Social Media Bias, Social Identity Threat, and Conspiracy Theory Ideation During the COVID-19 Pandemic
dc.type.dcmitext

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