How Social Media Exposure to Health Information Influences Chinese People’s Health Protective Behavior during Air Pollution: A Theory of Planned Behavior Perspective

Yang, Qinghua; Wu, S. M.

doi:10.1080/10410236.2019.1692486

Cited by 64 publications

(68 citation statements)

References 39 publications

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“…Previous studies have shown that subjective norms are considered as one of the key predictors of behavior in the theory of reasoned action (TRA) [67], the theory of planned behavior (TPB) [73], and the information-motivation-behavioral skills model (IMB) [74]. Moreover, it has been verified in various empirical studies on health behavior [12,72]. In particular, it demonstrates the strong influence of descriptive norms on skin cancer prevention [75], a healthy diet [76].…”

Section: Subjective Normsmentioning

confidence: 99%

“…In everyday life, the daily routine behaviors like observing others, talking with friends and family, learning public policies, and mass media consumption appear to help people to obtain and form normative perceptions [71]. Some studies have shown that exposure to health information in social media acts as a strong indicator to predict descriptive norms and injunctive norms [72], nevertheless, others have demonstrated that exposure to health information in WeChat has a negative predictive effect on users' descriptive norms, meanwhile exposure to health information in WeChat has no significant impact on injunctive norm [12]. Thus, we addressed the following hypotheses accordingly:…”

Section: Subjective Normsmentioning

confidence: 99%

“…In addition, the information provided by the media may also affect people's emotions and subjective norms, and then affect the public's protective behavior. Related empirical studies have manifested this process in different media platforms, including mass media dominated by newspapers [6], magazines [7], radio [8], television [9], and social media platforms such as social networking sites [10], blogs [11] and instant messaging [12]. During a public health crisis, people can search for and access a large amount of information through various channels including traditional media, interpersonal communications, and new media [13].…”

Section: Introductionmentioning

confidence: 99%

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Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China

Liu

Xie

et al. 2020

IJERPH

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In the context of global fighting against the unexpected COVID-19 pandemic, how to promote the public implementation of preventive behavior is the top priority of pandemic prevention and control. This study aimed at probing how the media would affect the public’s preventive behavior and excessive preventive intention accordingly. Data were collected from 653 respondents in the Chinese mainland through online questionnaires and further analyzed by using partial least squares structural equation modeling (PLS-SEM). Taking risk perception, negative emotions, and subjective norms as mediators, this study explored the impact of mass media exposure and social networking services involvement on preventive behavior and excessive preventive intention. Based on differences in the severity of the pandemic, the samples were divided into the Wuhan group and other regions group for multi-group comparison. The results showed that mass media exposure had a significant positive impact on subjective norms; moreover, mass media exposure could significantly enhance preventive behavior through subjective norms, and social networking services involvement had a significant positive impact on negative emotions; meanwhile, social networking services involvement promoted excessive preventive intention through negative emotions.

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Section: Subjective Normsmentioning

confidence: 99%

Section: Subjective Normsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China

Liu

Xie

et al. 2020

IJERPH

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show abstract

“…Some accounts have refuted fake news to avoid confusion and inappropriate interventions. Health information posted on these accounts can have a great impact on receivers’ behavior because of its real-time nature and various forms [ 11 ]. They can express their appreciation and interest by liking an article or following an account [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Health Information Dissemination on User Follows and Likes during COVID-19 Outbreak in China: Data and Content Analysis

Deng

2020

IJERPH

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Background: COVID-19 has greatly attacked China, spreading in the whole world. Articles were posted on many official WeChat accounts to transmit health information about this pandemic. The public also sought related information via social media more frequently. However, little is known about what kinds of information satisfy them better. This study aimed to explore the characteristics of health information dissemination that affected users’ information behavior on WeChat. Methods: Two-wave data were collected from the top 200 WeChat official accounts on the Xigua website. The data included the change in the number of followers and the total number of likes on each account in a 7-day period, as well as the number of each type of article and headlines about coronavirus. It was used to developed regression models and conduct content analysis to figure out information characteristics in quantity and content. Results: For nonmedical institution accounts in the model, report and story types of articles had positive effects on users’ following behaviors. The number of headlines on coronavirus positively impacts liking behaviors. For medical institution accounts, report and science types had a positive effect, too. In the content analysis, several common characteristics were identified. Conclusions: Characteristics in terms of the quantity and content in health information dissemination contribute to users’ information behavior. In terms of the content in the headlines, via coding and word frequency analysis, organizational structure, multimedia applications, and instructions—the common dimension in different articles—composed the common features in information that impacted users’ liking behaviors.

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“…With the rapid development of modern science and technology, increasingly more social media, including WeChat, QQ, Facebook, Twitter, You Tube, LinkedIn, microblogging, etc., are launching and changing the lifestyles and work styles of modern life [1][2][3]. WeChat is a free application (app.)…”

Section: Introductionmentioning

confidence: 99%

Observation and Analysis of Case Discussions Using WeChat Groups Among Orthopedists

Li¹,

Hu²,

Alkhatatbeh³

et al. 2020

Preprint

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Background: With the vigorous development of social media networks, an increasing number of orthopedists in China are taking part in case discussions using WeChat groups. The case discussion process using WeChat is quick, convenient and not limited by time or space, but this kind of case discussion is also chaotic and unconstrained. This study is aimed to observe and analyze the purpose, participation, case completeness, opinion consistency of orthopedic case discussions using WeChat groups.Methods: We collected data related to the case discussions of three orthopedic surgeons by taking screenshots of the chat records in the most-used WeChat groups from June to August 2019, and analyzed the purpose, participation, completeness and the opinion consistency between the majority of members and experts in related fields.Results: The common purposes of orthopedic case discussions were showing surgical results and obtaining treatment advice. The number of likes received for cases showing surgical results was significantly higher than those for cases requesting diagnostic advice and obtaining treatment advice. The complete and relatively complete cases attracted more participants and received more effective comments than the incomplete cases. The opinion consistency rate of the complete cases was higher than that of the relatively complete and incomplete cases.Conclusions: The case discussions using WeChat groups among orthopedists was mainly to show surgical results and request for diagnostic advice. Incomplete cases had low discussion participation and low opinion consistency. Online discussions using WeChat groups should be standardized with respect to the completeness of cases.

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How Social Media Exposure to Health Information Influences Chinese People’s Health Protective Behavior during Air Pollution: A Theory of Planned Behavior Perspective

Cited by 64 publications

References 39 publications

Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China

Exploring How Media Influence Preventive Behavior and Excessive Preventive Intention during the COVID-19 Pandemic in China

Effects of Health Information Dissemination on User Follows and Likes during COVID-19 Outbreak in China: Data and Content Analysis

Observation and Analysis of Case Discussions Using WeChat Groups Among Orthopedists

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