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Understanding the Diffusion of COVID-19-Related Information on Social Media.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding the Diffusion of COVID-19-Related Information on Social Media./
作者:	Alasmari, Hanan Mohammed.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	162 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Contained By:	Dissertations Abstracts International83-09B.
標題:	Mass communications. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29024304
ISBN:	9798780603382

Understanding the Diffusion of COVID-19-Related Information on Social Media.
Alasmari, Hanan Mohammed.

Understanding the Diffusion of COVID-19-Related Information on Social Media. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 162 p.

Source: Dissertations Abstracts International, Volume: 83-09, Section: B.

Thesis (Ph.D.)--University of North Texas, 2021.

This item is not available from ProQuest Dissertations & Theses.

Very few studies have examined information sentiment and explored other factors that contribute to health information dissemination and sharing. In particular, there is a lack of studies that performed these combined analyses in the modern social network environment during the disease outbreaks, such as with zika, ebola, SARS, or COVID-19. This study aimed to fill the gap in the literature by investigating what drives social media users to widely disseminate health-related information during a pandemic. Diffusion of innovation theory and theory of planned behavior were the basis of the theoretical approach utilized to answer the research questions. The two theories identified antecedents of sharing online health information. Data was collected through an online survey distributed to students in a higher education institution in the United States of America. The study revealed the extent of the relationships between the four major factors derived from the previous literature-attitudes toward sharing, beliefs toward source, peer influence, and information sentiment-and the behavioral intention to share information. The results would support the information science literature by offering and testing a new model that identifies the factors that affect users' intentions to share health information in the social network environment. This study will further the understanding and application of health information behavior research.

ISBN: 9798780603382Subjects--Topical Terms:

3422380
Mass communications.
Subjects--Index Terms:

Sharing

Understanding the Diffusion of COVID-19-Related Information on Social Media.
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