Research and Prediction on the Sharing of WeChat Official Accounts’ Articles

Authors

Bo Yang, Renmin University of China, Beijing, ChinaFollow
Junlin Tang, Renmin University of China, Beijing, ChinaFollow
Xi Ma, Renmin University of China, Beijing, ChinaFollow
Yawen Chang, Renmin University of China, Beijing, ChinaFollow
Huayang She, Renmin University of China, Beijing, ChinaFollow

Corresponding Author

Bo Yang, Renmin University of China, Beijing, China, yangbo_ruc@126.com

Document Type

Article

Abstract

With the development of mobile Internet, We Media was born. WeChat Official Account Platform is the largest we media platform in China. In WeChat social network, information can only be rapidly spread through the sharing operation of users. This paper takes WeChat official accounts as the object and uses logistic regression model to explore the influencing factors on sharing. After that, a prediction model is constructed based on logistic regression and support vector machine. The significance of this study is to propose the factors that influence WeChat official accounts’ articles sharing, and to construct a sharing prediction model.

Recommended Citation

Yang, Bo; Tang, Junlin; Ma, Xi; Chang, Yawen; and She, Huayang, "Research and Prediction on the Sharing of WeChat Official Accounts’ Articles" (2019). ICEB 2019 Proceedings (Newcastle Upon Tyne, UK). 44.
https://aisel.aisnet.org/iceb2019/44