File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Are Emotion-Expressing Messages More Shared on Social Media? A Meta-Analytic Review

TitleAre Emotion-Expressing Messages More Shared on Social Media? A Meta-Analytic Review
Authors
Keywordscrisis
health communication
social media
social sharing of emotion
Issue Date2022
Citation
Review of Communication Research, 2022, v. 10, p. 1-45 How to Cite?
AbstractGiven that social media has brought significant change to the communication landscape, researchers have explored factors that can influence audiences' information-sharing on social media such as a message feature like emotion-expressing. The present study meta-analytically summarized 19 studies to advance the understanding of the associations between emotionexpressing messages and information-sharing on social media in health and crisis communication contexts. Additional moderator analyses considered social media platform, sampling method, coding method, and emotion valence. Our study showed support for the social sharing of emotion hypothesis on social media; the findings showed that emotion-expressing messages are more likely to motivate audiences' sharing behavior on social media in health and crisis contexts (r =. 09, k = 19, N = 4,582,823). Moreover, we found that studies focusing on non-Twitter platforms (vs. Twitter), using nonrandom sampling (vs. using random sampling or all samples), using human coding (vs. machine coding), and focusing on messages expressing positive emotions (vs. negative emotions or both positive and negative emotions) had larger effect sizes. The study suggested implications for the future development of a theoretical framework on emotion-expressing messages and information-sharing. It also informed communication practices of broadening the reach of health and crisis information.
Persistent Identifierhttp://hdl.handle.net/10722/354218

 

DC FieldValueLanguage
dc.contributor.authorChen, Junhan-
dc.contributor.authorYan, Yumin-
dc.contributor.authorLeach, Jonathan-
dc.date.accessioned2025-02-07T08:47:14Z-
dc.date.available2025-02-07T08:47:14Z-
dc.date.issued2022-
dc.identifier.citationReview of Communication Research, 2022, v. 10, p. 1-45-
dc.identifier.urihttp://hdl.handle.net/10722/354218-
dc.description.abstractGiven that social media has brought significant change to the communication landscape, researchers have explored factors that can influence audiences' information-sharing on social media such as a message feature like emotion-expressing. The present study meta-analytically summarized 19 studies to advance the understanding of the associations between emotionexpressing messages and information-sharing on social media in health and crisis communication contexts. Additional moderator analyses considered social media platform, sampling method, coding method, and emotion valence. Our study showed support for the social sharing of emotion hypothesis on social media; the findings showed that emotion-expressing messages are more likely to motivate audiences' sharing behavior on social media in health and crisis contexts (r =. 09, k = 19, N = 4,582,823). Moreover, we found that studies focusing on non-Twitter platforms (vs. Twitter), using nonrandom sampling (vs. using random sampling or all samples), using human coding (vs. machine coding), and focusing on messages expressing positive emotions (vs. negative emotions or both positive and negative emotions) had larger effect sizes. The study suggested implications for the future development of a theoretical framework on emotion-expressing messages and information-sharing. It also informed communication practices of broadening the reach of health and crisis information.-
dc.languageeng-
dc.relation.ispartofReview of Communication Research-
dc.subjectcrisis-
dc.subjecthealth communication-
dc.subjectsocial media-
dc.subjectsocial sharing of emotion-
dc.titleAre Emotion-Expressing Messages More Shared on Social Media? A Meta-Analytic Review-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.12840/ISSN.2255-4165.034-
dc.identifier.scopuseid_2-s2.0-85124767752-
dc.identifier.volume10-
dc.identifier.spage1-
dc.identifier.epage45-
dc.identifier.eissn2255-4165-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats