公众参与
社会学
犯罪学
政治学
公共关系
心理学
互联网隐私
计算机科学
作者
Tzu-Hsuan Liu,Zhihao Ma,Yiwei Xia
标识
DOI:10.1016/j.ijlcj.2024.100665
摘要
This study investigated how Chinese police engage with the public via WeChat to manage their image, communicate risks, and enhance legitimacy. Drawing on supervised machine learning and topic modeling of 162,981 posts by 31 provincial capital Chinese police forces on WeChat from 2013 to 2020, this study categorized three periods, encompassing six types of posts: image building, civil service, political broadcasting, crime broadcasting, crime prevention advocacy, and others. The results demonstrated a significant decline in image management posts during the pandemic, as the police prioritized risk communication. The research also highlights the increased use of political broadcasting posts during crucial political events. Furthermore, image management posts constitute a substantial portion of image-building content, while civil service posts increasingly emphasize risk communication, especially during the pandemic. In conclusion, the study provides valuable insights into the evolving presentation strategies of Chinese police on WeChat, revealing their multifaceted use of social media.
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