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Macau Periodical Index (澳門期刊論文索引)
- Author
- Wang, Di；Mao, Zhifei
- Title
- Who is more likely to spread rumors? A study of the relationship between critical thinking, health anxiety, helpfulness, exhibitionism, and health rumor transmission on WeChat among older adults in Ch
- Journal Name
- 澳門科技大學學報
- Pub. Info
- 2020年12月31日, 第14卷第2期, pp. 18-27
- Link
- http://lib.must.edu.mo/sites/default/files/assets/images/Duu/2020年第二期學報正式版.pdf
- Keyword
- Rumor；Critical thinking；Health anxiety；Helpfulness；Exhibitionism
- Abstract
- With the popularity of social networking sites, rumors also found their way in these sites. Health is one of the most popular rumor topics on WeChat, one of the most popular social networking sites in China[1]. Among the people who transmit health rumors, older adults have become the main force[2]. Classical studies on rumor mainly focused on the predictors of the transmission of specific rumor messages under extreme events, such as war or earthquake[3~4] and overlooked the group or sociocultural determinants of rumor transmission[5]. This study examined the trait predictors of the transmission of health rumor in everyday life, and included predictor variables that refl ect interpersonal infl uence. Specially, we hypothesized that older people who are low in critical thinking, high in health anxiety, helpfulness and exhibitionism are more willing to transmit rumor on SNSs. Results from a survey with Chinese older adults who are 50 years or older (n = 914) showed that critical thinking was negatively related to rumor transmission intention, helpfulness was positively related to rumor transmission intention, while health anxiety and exhibitionism were not signifi cantly related to rumor transmission intention. Paragraph Headings: 1. Material and methods 1.1. Participants and survey development 1.2. Measures 1.2.1. Dependent variable: rumor transmission intention 2. Result 2.1. Descriptive statistics 2.2. Correlations 2.3. Regression 3. Discussion 4. Conclusions Tables： 1. Descriptive statistics 2. Descriptive statistics and correlations 3. Hierarchical multiple regression analyses Figures： 1. Rumors in the survey