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dc.contributor.authorLi, Yihan-
dc.contributor.authorFu, Ha-
dc.date.accessioned2024-02-08T13:42:36Z-
dc.date.available2024-02-08T13:42:36Z-
dc.date.issued2024-
dc.identifier.citationLi, Y., and Fu, H. (2023). Sharing News About COVID-19: Media Exposure, Self-Perceived Knowledge, and the Gap of Perceived Susceptibility of Self/Strangers. International Journal Of Communication, 17, 21. Retrieved from https://ijoc.org/index.php/ijoc/article/view/19056/4374es_ES
dc.identifier.issn1932-8036-
dc.identifier.urihttps://repositorio.consejodecomunicacion.gob.ec//handle/CONSEJO_REP/6652-
dc.description.abstractThis research concerns information sharing during the first outbreak of COVID-19 in China.Back then, Chinese residents heavily relied on the Internet to acquire and disseminate information to connect with the outside because of the forced nation-wide lockdown. This study applies the O-S-O-R model to examine the mechanism from news exposure (S) to news sharing (R) with self-perceived knowledge as the mediator between S and R and the gap of perceived susceptibility of self/strangers as a moderator. An online survey of 517 Chinese college students was conducted. Results show that news exposure is positively related to news sharing, which is mediated by self-perceived knowledge about COVID-19. In addition, participants tend to share COVID-19-related news if they believe that they are more likely to be affected by the virus than strangers, showing that their online sharing behavior is arguably motivated by a pseudoaltruism. These findings contribute to the research on health news effects by applying the O-S-O-R model and supporting its utility in the context of a health crisises_ES
dc.language.isoeses_ES
dc.publisherInternational Journal of Communicationes_ES
dc.subjectmediaes_ES
dc.subjectexposurees_ES
dc.subjectmediaes_ES
dc.titleSharing News About COVID-19: Media Exposure, Self-Perceived Knowledge, and the Gap of Perceived Susceptibility of Self/Strangerses_ES
dc.title.alternativeInternational Journal of Communicationes_ES
dc.typeArticlees_ES
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