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Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis
Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information in Mobile Social Media
Liang Chen;
Yang Xiaodong;
Lunrui Fu;
Xiaoming Liu;
Congyi Yuan
ABSTRACT
This study aims to examine the nature and impact of health information in mobile social media. Specifically, we investigate how the levels of threat and efficacy of breast cancer prevention information affect individuals’ engagement with the information, such as readings and likes. Breast cancer prevention articles posted on a Chinese mobile social media platform (i.e. WeChat SA) from 1st January to 31st December, 2017 were extracted using the Python Web Crawler. We used content analysis and ANCOVA to analyze our data. The results revealed that breast cancer prevention information on WeChat SA was well designed. Moreover, the level of threat and efficacy of breast cancer prevention information significantly affected the number of readings and likes.
Citation
Please cite as:
Chen L, Xiaodong Y, Fu L, Liu X, Yuan C
Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis