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- Publisher Website: 10.1080/07421222.2021.1990607
- Scopus: eid_2-s2.0-85122203764
- WOS: WOS:000737572700005
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Article: The Effect of the Expressed Anger and Sadness on Online News Believability
Title | The Effect of the Expressed Anger and Sadness on Online News Believability |
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Authors | |
Keywords | anger online sadness online emotions as social information theory appraisal-tendency framework news perception |
Issue Date | 2021 |
Publisher | Taylor & Francis Inc. The Journal's web site is located at http://www.tandfonline.com/loi/mmis20 |
Citation | Journal of Management Information Systems, 2021, v. 38 n. 4, p. 959-988 How to Cite? |
Abstract | Emotional expressions have been widely used in online news. Existing research on the perception of online news has primarily focused on the effect of contextual cues on readers’ reasoning and deliberation behavior; the role of discrete emotions such as anger and sadness, however, has been overlooked. This paper addresses this research gap by investigating the influence of angry and sad expressions in online news on readers’ perception of the news. Drawing on the emotions as social information (EASI) theory and the appraisal-tendency framework (ATF), we find that expressions of anger in online news decrease its believability. However, sad expressions do not trigger the same effect. A further test reveals that the effect of angry expressions can be explained by the readers’ perception of the author’s cognitive effort: readers perceive that expressions of anger in the headlines denote a lack of cognitive effort of the author in writing the news, which subsequently lowers the believability of the news. We also show that news believability has downstream implications and can impact various social media behaviors including reading, liking, commenting, and sharing. This research extends current knowledge of the cognitive appraisals and interpersonal effects of discrete emotions (i.e., anger, sadness) on online news. The results also offer practical implications for social media platforms, news aggregators, and regulators that need to manage digital content and control the spread of fake news. |
Persistent Identifier | http://hdl.handle.net/10722/309897 |
ISSN | 2021 Impact Factor: 7.582 2020 SCImago Journal Rankings: 3.073 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | DENG, B | - |
dc.contributor.author | Chau, M | - |
dc.date.accessioned | 2022-01-10T09:15:27Z | - |
dc.date.available | 2022-01-10T09:15:27Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Journal of Management Information Systems, 2021, v. 38 n. 4, p. 959-988 | - |
dc.identifier.issn | 0742-1222 | - |
dc.identifier.uri | http://hdl.handle.net/10722/309897 | - |
dc.description.abstract | Emotional expressions have been widely used in online news. Existing research on the perception of online news has primarily focused on the effect of contextual cues on readers’ reasoning and deliberation behavior; the role of discrete emotions such as anger and sadness, however, has been overlooked. This paper addresses this research gap by investigating the influence of angry and sad expressions in online news on readers’ perception of the news. Drawing on the emotions as social information (EASI) theory and the appraisal-tendency framework (ATF), we find that expressions of anger in online news decrease its believability. However, sad expressions do not trigger the same effect. A further test reveals that the effect of angry expressions can be explained by the readers’ perception of the author’s cognitive effort: readers perceive that expressions of anger in the headlines denote a lack of cognitive effort of the author in writing the news, which subsequently lowers the believability of the news. We also show that news believability has downstream implications and can impact various social media behaviors including reading, liking, commenting, and sharing. This research extends current knowledge of the cognitive appraisals and interpersonal effects of discrete emotions (i.e., anger, sadness) on online news. The results also offer practical implications for social media platforms, news aggregators, and regulators that need to manage digital content and control the spread of fake news. | - |
dc.language | eng | - |
dc.publisher | Taylor & Francis Inc. The Journal's web site is located at http://www.tandfonline.com/loi/mmis20 | - |
dc.relation.ispartof | Journal of Management Information Systems | - |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. | - |
dc.subject | anger online | - |
dc.subject | sadness online | - |
dc.subject | emotions as social information theory | - |
dc.subject | appraisal-tendency framework | - |
dc.subject | news perception | - |
dc.title | The Effect of the Expressed Anger and Sadness on Online News Believability | - |
dc.type | Article | - |
dc.identifier.email | Chau, M: mchau@business.hku.hk | - |
dc.identifier.authority | Chau, M=rp01051 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/07421222.2021.1990607 | - |
dc.identifier.scopus | eid_2-s2.0-85122203764 | - |
dc.identifier.hkuros | 331396 | - |
dc.identifier.volume | 38 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 959 | - |
dc.identifier.epage | 988 | - |
dc.identifier.isi | WOS:000737572700005 | - |
dc.publisher.place | United States | - |