{"title":"表达情感的信息在社交媒体上分享得更多吗?元分析综述","authors":"Junhan Chen, Yumin Yan, J. Leach","doi":"10.12840/issn.2255-4165.034","DOIUrl":null,"url":null,"abstract":"Given 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 emotion-expressing 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.","PeriodicalId":43364,"journal":{"name":"Review of Communication Research","volume":"1 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Are Emotion-Expressing Messages More Shared on Social Media? A Meta-Analytic Review\",\"authors\":\"Junhan Chen, Yumin Yan, J. Leach\",\"doi\":\"10.12840/issn.2255-4165.034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given 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 emotion-expressing 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.\",\"PeriodicalId\":43364,\"journal\":{\"name\":\"Review of Communication Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Communication Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12840/issn.2255-4165.034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Communication Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12840/issn.2255-4165.034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 3
摘要
鉴于社交媒体给传播格局带来了重大变化,研究人员探索了影响受众在社交媒体上分享信息的因素,如情感表达等信息特征。本研究荟萃分析总结了19项研究,以促进对健康和危机沟通背景下社交媒体上情绪表达信息与信息分享之间关系的理解。额外的调节因素分析考虑了社交媒体平台、抽样方法、编码方法和情绪效价。我们的研究支持社交媒体上情感的社会分享假说;研究结果显示,在健康和危机情境下,情绪表达信息更有可能激发受众在社交媒体上的分享行为(r = 0.09, k = 19, N = 4,582,823)。此外,我们发现关注非Twitter平台(vs. Twitter)、使用非随机抽样(vs.使用随机抽样或所有样本)、使用人类编码(vs.机器编码)以及关注表达积极情绪的信息(vs.消极情绪或积极和消极情绪都有)的研究具有更大的效应量。该研究为未来情感表达信息和信息共享理论框架的发展提供了启示。它还为扩大健康和危机信息覆盖面的传播做法提供了信息。
Are Emotion-Expressing Messages More Shared on Social Media? A Meta-Analytic Review
Given 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 emotion-expressing 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.
期刊介绍:
Review of Communication Research will publish an annual volume with comprehensive and authoritative reviews of the current state of the main topics and the most significant developments in the field of Communication. These comprehensive critical reviews will summarize the latest advances in the field, but also will root out errors and will provoke intellectual discussions among scholars. The journal seeks both evaluative (theorical) and quantitative (meta-analysis) papers that make a state of the art of issues in scientific communication. Integrative review articles that connect different areas of research are of special interest.