Social Media User Behavior and Emotions during Crisis Events

被引:15
作者
Gu, Mingyun [1 ,2 ]
Guo, Haixiang [1 ,2 ,3 ]
Zhuang, Jun [4 ]
Du, Yufei [1 ]
Qian, Lijin [1 ]
机构
[1] China Univ Geosci, Coll Econ & Management, Wuhan 430074, Peoples R China
[2] China Univ Geosci, Res Ctr Digital Business Management, Wuhan 430074, Peoples R China
[3] China Univ Geosci, Mineral Resource Strategy & Policy Res Ctr, Wuhan 430074, Peoples R China
[4] SUNY Buffalo, Sch Engn & Appl Sci, Dept Ind & Syst Engn, 317 Bell Hall, Buffalo, NY 14260 USA
基金
中国国家自然科学基金;
关键词
social media; information dissemination; sentiment analysis; COVID-19; BIG DATA ANALYTICS; TWITTER; SUSTAINABILITY; INTERNET;
D O I
10.3390/ijerph19095197
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The wide availability of smart mobile devices and Web 2.0 services has allowed people to easily access news, spread information, and express their opinions and emotions using various social media platforms. However, because of the ease of joining these sites, people also use them to spread rumors and vent their emotions, with the social platforms often playing a facilitation role. This paper collected more than 190,000 messages published on the Chinese Sina-Weibo platform to examine social media user behaviors and emotions during an emergency, with a particular research focus on the "Dr. Li Wenliang" reports associated with the COVID-19 epidemic in China. The verified accounts were found to have the strongest interactions with users, and the sentiment analysis revealed that the news from government agencies had a positive user effect and the national media and trusted experts were more favored by users in an emergency. This research provides a new perspective on trust and the use of social media platforms in crises, and therefore offers some guidance to government agencies.
引用
收藏
页数:21
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共 41 条
  • [1] The use of YouTube in western European municipalities
    Bonson, Enrique
    Bednarova, Michaela
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2018, 35 (02) : 223 - 232
  • [2] Citizens' engagement on local governments' Facebook sites. An empirical analysis: The impact of different media and content types in Western Europe
    Bonson, Enrique
    Royo, Sonia
    Ratkai, Melinda
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2015, 32 (01) : 52 - 62
  • [3] All hands on deck to tweet #sandy: Networked governance of citizen coproduction in turbulent times
    Chatfield, Akemi Takeoka
    Reddick, Christopher G.
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2018, 35 (02) : 259 - 272
  • [4] Tsunami early warnings via Twitter in government: Net-savvy citizens' co-production of time-critical public information services
    Chatfield, Akemi Takeoka
    Scholl, Hans J.
    Brajawidagda, Uuf
    [J]. GOVERNMENT INFORMATION QUARTERLY, 2013, 30 (04) : 377 - 386
  • [5] Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis
    Chen, Qiang
    Min, Chen
    Zhang, Wei
    Wang, Ge
    Ma, Xiaoyue
    Evans, Richard
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2020, 110 (110)
  • [6] Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities
    Dutt, Ritam
    Basu, Moumita
    Ghosh, Kripabandhu
    Ghosh, Saptarshi
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (05) : 1680 - 1697
  • [7] The Blue Check of Credibility: Does Account Verification Matter When Evaluating News on Twitter?
    Edgerly, Stephanie
    Vraga, Emily K.
    [J]. CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING, 2019, 22 (04) : 283 - 287
  • [8] Assessing disaster impacts and response using social media data in China: A case study of 2016 Wuhan rainstorm
    Fang, Jian
    Hu, Jiameng
    Shi, Xianwu
    Zhao, Lin
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2019, 34 : 275 - 282
  • [9] Real-time event detection from the Twitter data stream using the TwitterNews plus Framework
    Hasan, Mahmud
    Orgun, Mehmet A.
    Schwitter, Rolf
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (03) : 1146 - 1165
  • [10] Huberman B.A., 2008, ARXIV