Using Two Theories in Exploration of the Health Information Diffusion on Social Media During a Global Health Crisis

Hanan Alasmari, Oksana L. Zavalina
{"title":"Using Two Theories in Exploration of the Health Information Diffusion on Social Media During a Global Health Crisis","authors":"Hanan Alasmari, Oksana L. Zavalina","doi":"10.1142/s0219649222500952","DOIUrl":null,"url":null,"abstract":"As the possibility of sharing inaccurate information on social media increases markedly during the health crisis, there is a need to develop an understanding of social media users’ motivations for online sharing of information related to major public health challenges such as COVID-19. This study utilised an online survey based on Theory of Planned Behaviour and Diffusion of Innovation Theory to examine how the behavioural intention to share COVID-19-related content on social media is impacted and to develop a model of health information sharing. Results indicate that opinion leadership, beliefs held towards the source of the information, and peers’ influence serve as determinants of the intention to share COVID-19-related information on social media, while the opinion-seeking attitude does not, which could be explained by opinion seekers’ inherent tendency to seek more sources to verify new information obtained. The study contributes to the Information Science field by addressing the previously under-researched area and proposing a new model that explains the impact of the factors on behavioural intention to share health-related information during the health crisis in the online network environment.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Inf. Knowl. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0219649222500952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

As the possibility of sharing inaccurate information on social media increases markedly during the health crisis, there is a need to develop an understanding of social media users’ motivations for online sharing of information related to major public health challenges such as COVID-19. This study utilised an online survey based on Theory of Planned Behaviour and Diffusion of Innovation Theory to examine how the behavioural intention to share COVID-19-related content on social media is impacted and to develop a model of health information sharing. Results indicate that opinion leadership, beliefs held towards the source of the information, and peers’ influence serve as determinants of the intention to share COVID-19-related information on social media, while the opinion-seeking attitude does not, which could be explained by opinion seekers’ inherent tendency to seek more sources to verify new information obtained. The study contributes to the Information Science field by addressing the previously under-researched area and proposing a new model that explains the impact of the factors on behavioural intention to share health-related information during the health crisis in the online network environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用两种理论探讨全球健康危机中社交媒体上健康信息的传播
在卫生危机期间,在社交媒体上分享不准确信息的可能性显著增加,因此有必要了解社交媒体用户在线分享与COVID-19等重大公共卫生挑战相关信息的动机。本研究利用基于计划行为理论和创新扩散理论的在线调查,研究了在社交媒体上分享covid -19相关内容的行为意愿是如何受到影响的,并建立了卫生信息共享模型。结果表明,意见领导、对信息来源的信念和同伴的影响力是社交媒体上分享covid -19相关信息的意愿的决定因素,而寻求意见的态度则不是决定因素,这可以解释为寻求意见的人天生倾向于寻求更多来源来验证所获得的新信息。该研究解决了先前研究不足的领域,并提出了一个新的模型,解释了在线网络环境中健康危机期间与健康相关的信息共享行为意愿的因素的影响,从而为信息科学领域做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Knowledge Management in Higher Education in Vietnam: Insights from Higher Education Leaders - An Exploratory Study The Organisation's Size-Innovation Performance Relationship: The Role of Human Resource Development Mechanisms A Comparative Review of Sentimental Analysis Using Machine Learning and Deep Learning Approaches Vocational Education Information Technology Based on Cross-Attention Fusion Knowledge Map Recommendation Algorithm Redesigning Knowledge Management Through Corporate Sustainability Strategy in the Post-Pandemic Era
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1