{"title":"在微信上服务:了解中国语境下警察与公众接触的逻辑","authors":"Tzu-Hsuan Liu , Zhihao Ma , Yiwei Xia","doi":"10.1016/j.ijlcj.2024.100665","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":46026,"journal":{"name":"International Journal of Law Crime and Justice","volume":"77 ","pages":"Article 100665"},"PeriodicalIF":1.0000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Serving on WeChat: Understanding the logics of police’s engagement with the public in Chinese contexts\",\"authors\":\"Tzu-Hsuan Liu , Zhihao Ma , Yiwei Xia\",\"doi\":\"10.1016/j.ijlcj.2024.100665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":46026,\"journal\":{\"name\":\"International Journal of Law Crime and Justice\",\"volume\":\"77 \",\"pages\":\"Article 100665\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Law Crime and Justice\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S175606162400017X\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CRIMINOLOGY & PENOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Law Crime and Justice","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S175606162400017X","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
Serving on WeChat: Understanding the logics of police’s engagement with the public in Chinese contexts
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.
期刊介绍:
The International Journal of Law, Crime and Justice is an international and fully peer reviewed journal which welcomes high quality, theoretically informed papers on a wide range of fields linked to criminological research and analysis. It invites submissions relating to: Studies of crime and interpretations of forms and dimensions of criminality; Analyses of criminological debates and contested theoretical frameworks of criminological analysis; Research and analysis of criminal justice and penal policy and practices; Research and analysis of policing policies and policing forms and practices. We particularly welcome submissions relating to more recent and emerging areas of criminological enquiry including cyber-enabled crime, fraud-related crime, terrorism and hate crime.