scholarly journals Understanding the Health Information Sharing Behavior of Social Media Users

2021 ◽  
Vol 33 (5) ◽  
pp. 180-203
Author(s):  
Ying Hong ◽  
Meng Wan ◽  
Zheng Li

Studies have focused on elucidating the sharing behavior of media users. However, few studies have specifically investigated users' health information sharing behavior in the social media context, especially WeChat. This study proposes a theoretical research model that integrates social capital and user gratification with the theory of planned behavior to explore health information sharing behavior of WeChat users. Based on online survey data collected from 616 WeChat users, correlation analysis and structural equation modeling were sequentially performed. It was found that both social capital and gratification factors play important roles in influencing WeChat users' health information sharing. Social interaction, acting both as social capital and gratification factor directly and indirectly generated positive effects on health information sharing intention. In conclusion, this study revealed the key determinants of health information sharing intention among WeChat users and examined the mediation effects to effectively understand users' health information sharing behavior.

2017 ◽  
Vol 8 (2) ◽  
Author(s):  
Maithili Deshpande ◽  
Kevin A Look

Background: Despite established screening guidelines, breast cancer screening rates are below targeted goals. Pharmacists and other health care providers can promote breast cancer screening using tools such as social media. However, little is known about the use of social media among the breast cancer screening eligible population. Objective: To describe the health information sharing behavior using social media of the breast cancer screening eligible population, and to identify if sharing health information on social media was associated with breast cancer screening. Methods and materials: Data from the 2013 Health Information National Trends Survey were analyzed using descriptive statistics and bivariate logistic regression to evaluate the association between sharing health information on social media and receipt of a mammogram. Results: Women sharing health information via social media were significantly younger than those who did not. A significantly higher percentage of Hispanics (17.8%) and other races (27.0%) chose to share health information on social media compared to African Americans (8.6%) and Whites (12.9%). Mammogram rates did not differ based on social media health information sharing habits. Conclusion: Race and age differences were noted in health information sharing behavior. No association was found between health information sharing behavior and breast cancer screening. Conflict of Interest We declare no conflicts of interest or financial interests that the authors or members of their immediate families have in any product or service discussed in the manuscript, including grants (pending or received), employment, gifts, stock holdings or options, honoraria, consultancies, expert testimony, patents and royalties   Type: Original Research


2020 ◽  
pp. 109019812098476
Author(s):  
Linqi Lu ◽  
Jiawei Liu ◽  
Y. Connie Yuan ◽  
Kelli S. Burns ◽  
Enze Lu ◽  
...  

Health information sharing has become especially important during the COVID-19 (coronavirus disease 2019) pandemic because people need to learn about the disease and then act accordingly. This study examines the perceived trust of different COVID-19 information sources (health professionals, academic institutions, government agencies, news media, social media, family, and friends) and sharing of COVID-19 information in China. Specifically, it investigates how beliefs about sharing and emotions mediate the effects of perceived source trust on source-specific information sharing intentions. Results suggest that health professionals, academic institutions, and government agencies are trusted sources of information and that people share information from these sources because they think doing so will increase disease awareness and promote disease prevention. People may also choose to share COVID-19 information from news media, social media, and family as they cope with anxiety, anger, and fear. Taken together, a better understanding of the distinct psychological mechanisms underlying health information sharing from different sources can help contribute to more effective sharing of information about COVID-19 prevention and to manage negative emotion contagion during the pandemic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiao-Chieh Chen ◽  
Yu-Ping Chiu

PurposeSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.Design/methodology/approachData were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.FindingsThe results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.Originality/valueThis study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.


2018 ◽  
Vol 3 (2) ◽  
pp. 139
Author(s):  
Ragil Tri Atmi

Cervical cancer is the second highest cause of death for women in Indonesia, despite a deadly illness, patients with cervical cancer are not desperate to survive. Instead, they are motivated to undertake positive actions, one of which is to do health informtion sharing or share information on environmental health tersekatnya. This study aims to look at how the patterns of behavior of sharing health information on cervical cancer patients, as well as the motive behind their actions the health information sharing. This study uses the method of qualitative research grounded approach. Location of the study conducted in Surabaya, while the search for informants researchers used snowball sampling. The results from this study is there are different behavior patterns of health information sharing among cervical cancer patients who have been diagnosed with advanced cervical cancer with cervical cancer at an early stage level.


2019 ◽  
Author(s):  
Hyeyoung Hah

BACKGROUND As the US health care system is embracing data-driven care, personal health information (PHI) has become a valuable resource for various health care stakeholders. In particularly, health consumers are expected to autonomously manage and share PHI with their health care partners. To date, there have been mixed views on the factors influencing individuals’ health data–sharing behaviors. OBJECTIVE This study aimed to identify a key factor to better understand health information sharing behavior from a health consumer’s perspective. We focused on daily settings, wherein health data–sharing behavior becomes a part of individuals’ daily information management activities. Considering the similarity between health and finance information management, we explicitly examined whether health consumers’ daily habit of similar data sharing from the financial domain affects their PHI-sharing behaviors in various scenarios. METHODS A Web-based survey was administered to US health consumers who have access to and experience in using the internet. We collected individual health consumers’ intention to share PHI under varying contexts, habit of financial information management (operationalized as internet banking [IB] use in this paper), and the demographic information from the cross-sectional Web-based survey. To isolate the effect of daily IB on PHI-sharing behaviors in everyday contexts, propensity score matching was used to estimate the average treatment effect (ATE) and average treatment effect on the treated (ATET) regarding IB use. We balanced the treatment and control groups using caliper matching based on the observed confounding variables (ie, gender, income, health status, and access to primary care provider), all of which resulted in a minimal level of bias between unmatched and matched samples (bias &lt;5%). RESULTS A total of 339 responses were obtained from a cross-sectional Web-based survey. The ATET results showed that in terms of sharing contents, those who used IB daily were more likely to share general information (<italic>P</italic>=.01), current information (<italic>P</italic>=.003), and entire data (<italic>P</italic>=.04). Regarding occasions for sharing occasions, IB users were prone to share their information in all cases (<italic>P</italic>=.02). With regard to sharing recipients, daily IB users were more willing to share their personal health data with stakeholders who were not directly involved in their care, such as health administrators (<italic>P</italic>=.05). These results were qualitatively similar to the ATE results. CONCLUSIONS This study examined whether daily management of similar information (ie, personal financial information) changes health consumers’ PHI-sharing behavior under varying sharing conditions. We demonstrated that daily financial information management can encourage health information sharing to a much broader extent, in several instances, and with many stakeholders. We call for more attention to this unobserved daily habit driven by the use of various nonhealth technologies, all of which can implicitly affect patterns and the extent of individuals’ PHI-sharing behaviors.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Min Zhang ◽  
Wen Lin ◽  
Zhen Ma ◽  
Jun Yang ◽  
Yan Zhang

PurposeThis paper aims to theorize and examine how central cognition elaboration cue and peripheral cognition elaboration cue influence users’ health information sharing intention in Strong ties social media (STSM) in emerging markets.Design/methodology/approachThis paper innovatively proposes two concepts of health information emotion and health information sharing value based on the in-depth observation of users’ social health behavior. We integrate Elaboration Likelihood Model, Media Richness Theory, Trust Theory and Regulatory Focus Theory to develop hypotheses and research models and lay emphasis on the study of health information emotion’s moderating effect. This paper conducts an empirical study by selecting 372 health information users of WeChat, a typical STSM, to verify the research model by structural equation model.FindingsFor the central route, individual motivation and health information richness positively influence health information sharing value. For peripheral route, health information source trust and health information recipient trust both positively influence the health information sharing attitude. Health information sharing value and sharing attitude can positively affect users’ health information sharing intention. In addition, health information positive emotion has significant moderating effect, while health information negative emotion does not have.Originality/valueThis study contributes to a comprehensive perspective for understanding users’ health information sharing intention in STSM in emerging markets, an important but understudied topic. The results can also give implications for researchers to explore users’ behavioral intention from the perspective of process-oriented persuasion and health information emotion’s moderating effect.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Miyea Kim ◽  
Mina Jun ◽  
Jeongsoo Han

PurposeThe purpose of this study is to investigate the factors that influence the information sharing behavior of individuals on social media. Furthermore, the study analyzes the effect that individuals’ self-connection to social media has on information sharing through self-efficacy and the effect of social-connection on information sharing through empathy.Design/methodology/approachA survey questionnaire was developed and distributed to social media users from general participants in the Republic of Korea. A total of 824 valid responses were obtained. Hypotheses were tested using structural equation modeling and applying SmartPLS 3.0.FindingsThe result indicated that individuals are motivated to share information through self-connection and social connection. Furthermore, the mediation analysis revealed that the effect of self-connection on information sharing in social media is mediated by self-efficacy. Also, social connection will increase information sharing not only directly but also indirectly through its positive effect on empathy.Originality/valueThe authors focused on the basic needs of humans and tried to reveal the relationship between human needs and motivational beliefs, which are self-efficacy and empathy, and information sharing behavior on social media. Through the individual's fundamental needs that social media can satisfy, individuals will gain positive psychological benefits through using social media. This study considered what psychological benefits social media can provide.


2021 ◽  
Vol 29 (6) ◽  
pp. 1-24
Author(s):  
Xi Wei Wang ◽  
Muhammad Riaz ◽  
Sajjad Haider ◽  
Khalid Mehmood Alam ◽  
Sherani ◽  
...  

Drawing upon social cognitive & social network theories, this study examines individual-level and network-level factors which potentially affect multicultural individuals’ information sharing behavior via social media. The data has been collected from the foreigners (multicultural individuals) who visited visa centers in three different cities in China. The proposed model tests a combined effect of past sharing experience (PE), trust (TR), perceived benefit (PB), perceived richness (RI), & information sharing attitude (ATT), on information sharing behavior (Beh). The data has been analyzed through Structural Equation Modeling (SEM). The results illustrate PE, TR and PB positively affects ATT which further influences Beh. Since scant studies focus on information sharing behavior of multicultural individuals – this research contributes to the IS literature, particularly to the information sharing via social media in a multicultural perspective. The results are likely to be useful guidance for practitioners and scholars intending to evaluate social media information sharing behavior.


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