Research on Chinese social media users' communication behaviors during public emergency events

被引:97
|
作者
Xie, Yungeng [1 ]
Qiao, Rui [1 ]
Shao, Guosong [1 ]
Chen, Hong [2 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai 200030, Peoples R China
[2] East China Normal Univ, Shanghai, Peoples R China
关键词
Public emergency events; Social media; Online communication; Political participation; DIGITAL-AGE; INTERNET; INFORMATION; ENGAGEMENT; ONLINE; GENDER; MODEL; RISK;
D O I
10.1016/j.tele.2016.05.023
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
In recent years, China has been in a period of social transition. Public emergency events have occurred frequently, and social media have developed rapidly. Social media users in China not only represent traditional audiences but also play an increasingly important role in crisis communication during public emergency events by expressing their views, discussing events with others and sharing information both online and offline. According to national telephone survey data from China, nearly two-thirds of the respondents engaged in communication behaviors during public emergency events, and more than forty percent of those users communicated by social media. Hundreds of millions of Chinese social media users are becoming the driving force of the public opinion field. To better understand social media users' online information dissemination behaviors and influencing factors, we developed the hierarchical logistic regression model and observed that demographic variables (gender and age), social media use, people's concerns regarding public emergencies and people's need to monitor the government's performance during public emergencies significantly influence online information dissemination behaviors. Our study has practical significance and academic value for understanding the online public opinion field and online political participation in China. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:740 / 754
页数:15
相关论文
共 50 条
  • [41] Predicting users' demographic characteristics in a Chinese social media network
    Wang, Qiangbing
    Ma, Shutian
    Zhang, Chengzhi
    [J]. ELECTRONIC LIBRARY, 2017, 35 (04): : 758 - 769
  • [42] Features of the Communication of the Social Media of the Chinese Sports Information
    Tian, Jianqiang
    Xia, Minhui
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON EDUCATION AND EDUCATION RESEARCH (EER 2015), PT 4, 2015, 8 : 188 - 192
  • [43] Brand Communication in Social Media: A Research Agenda
    Voorveld, Hilde A. M.
    [J]. JOURNAL OF ADVERTISING, 2019, 48 (01) : 14 - 26
  • [44] Social media: points of consideration in research in Communication
    Passos, Mateus Yuri
    [J]. REVISTA COMUNICACAO MIDIATICA, 2013, 8 (01): : 8 - 10
  • [45] Media Exposure, Perceived Efficacy, and Protective Behaviors in a Public Health Emergency
    Li, Xigen
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION, 2018, 12 : 2641 - 2660
  • [46] Public Trust in Social Media Communication of Government in China
    Su, Qianqian
    [J]. PROCEEDINGS OF THE ACADEMIC FORUM ON RESEARCH INTO SOCIAL MENTALITY AND SOCIAL PSYCHOLOGICAL SERVICES UNDER THE NEW ERA, 2018, : 68 - 74
  • [47] Politicians & the public: The analysis of political communication in social media
    Alperin, Juan Pablo
    Dumas, Catherine
    Karami, Amir
    Moscrop, David
    Singh, Vivek
    Zamir, Hassan
    Ilhan, Aylin
    Dorsch, Isabelle
    [J]. Proceedings of the Association for Information Science and Technology, 2018, 55 (01) : 646 - 649
  • [48] News on Events and Social Media: A Comparative Analysis of Facebook Users? Reactions
    Salgado, Susana
    Bobba, Giuliano
    [J]. JOURNALISM STUDIES, 2019, 20 (15) : 2258 - 2276
  • [49] The Multiplicity and Dynamics of Functional Crisis Memories in Crisis Communication: How Chinese Social Media Users Collectively Reconstructed SARS during COVID-19
    Zhang, Xing
    Chen, Anfan
    [J]. JOURNAL OF PUBLIC RELATIONS RESEARCH, 2022, 34 (1-2) : 45 - 63
  • [50] Social relationships, public media, and pro-environmental behaviors
    Hui Zhou
    Haitao Yin
    Fang Yuan
    Feng Wang
    [J]. Empirical Economics, 2019, 57 : 569 - 588