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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: May 21, 2020
Date Accepted: Sep 6, 2020

The final, peer-reviewed published version of this preprint can be found here:

Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

Rao Q, Zhang Z, Lv Y, Zhao Y, Bai L, Hou X

Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

JMIR Med Inform 2020;8(10):e20558

DOI: 10.2196/20558

PMID: 33034569

PMCID: 7584979

How to make health-promoting messages influential in social media: A Case Study of Sina Weibo

  • Qingmao Rao; 
  • Zuyue Zhang; 
  • Yalan Lv; 
  • Yong Zhao; 
  • Li Bai; 
  • Xiaorong Hou

ABSTRACT

Background:

Social media represents a powerful tool for the dissemination of health messages. However, few studies have focused on how to improve the influence of health messages on social media.

Objective:

To explore the influence of goal-framing effects, information organizing and the use of pictures or videos in health-promoting messages, we conducted a case study on Sina Weibo (a popular social media platform in China).

Methods:

Literature research and expert discussion were used to determine the health themes of “Childhood obesity”, “Smoking”, and “Cancer”. Web crawler technology was employed to capture data on health-promoting messages. Use the number of “Retweets”, “Comments”, and “Likes” to evaluate the influence of a message. Statistical analysis was then conducted after manual coding. Specifically, binary logistic regression was used for the data analyses.

Results:

We crawled 20799 Weibo messages and selected 389 Weibo health-promoting messages in the study. Results indicated that the use of gain-framed could improve the influence degree of messages in “Childhood obesity” (P< .001), “Smoking” (P=. 028), and “Cancer” (P< .001). And statistical expression could improve the influence degree of messages in “childhood obesity” (P= .019), “Smoking” (P= .002), and “Cancer” (P< .001). However, the use of videos can significantly (p = .009) improve the influence degree of health-promoting messages only for the “Smoking” health theme.

Conclusions:

The findings suggested that the gain-framed & statistical expression could be considered a strategy to improve the influence degree of messages. Moreover, appropriate pictures and videos should be added as much as possible when generating health-promoting messages.


 Citation

Please cite as:

Rao Q, Zhang Z, Lv Y, Zhao Y, Bai L, Hou X

Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

JMIR Med Inform 2020;8(10):e20558

DOI: 10.2196/20558

PMID: 33034569

PMCID: 7584979

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