Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Microblog Public Opinion Event Management Based on Logit Regression

Authors
Shiyuan Zhang1, Baiping Chen2, *, Yajuan Deng1, Xiaohong Deng3
1Department of Business Administration, Sichuan University, Chengdu, China
2Innovation Institute, Science and Technology for Development Research Center of Sichuan Province, Chengdu, China
3Agricultural Bank of China Tianfu New District, Chengdu, China
*Corresponding author. Email: 251458382@qq.com
Corresponding Author
Baiping Chen
Available Online 7 December 2022.
DOI
10.2991/978-94-6463-016-9_34How to use a DOI?
Keywords
Public opinion; government supervision; Logit
Abstract

This paper is based on the data of social public opinion events that occurred on Weibo within 24 h of a certain day in 2017. Through the establishment of Logit model to explore the influencing factors that affect the popularity of online public opinion. The empirical results show that the number of fans and likes has a significant positive effect on the popularity of online public opinion. When the number of fans of a platform that publishes social public opinion events increases, the social public opinion events released by the platform are easier to warn. The more likes, the more netizens pay attention to the social public opinion event, and the content of the event can attract enough attention, and the public is more interested in the event. Appropriate control of the number of fans and likes on large-scale Weibo platforms has important implications for government supervision and protection of the healthy development of online public opinion.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 December 2022
ISBN
10.2991/978-94-6463-016-9_34
ISSN
2589-4900
DOI
10.2991/978-94-6463-016-9_34How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shiyuan Zhang
AU  - Baiping Chen
AU  - Yajuan Deng
AU  - Xiaohong Deng
PY  - 2022
DA  - 2022/12/07
TI  - Research on Microblog Public Opinion Event Management Based on Logit Regression
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 323
EP  - 332
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_34
DO  - 10.2991/978-94-6463-016-9_34
ID  - Zhang2022
ER  -