Social Media User Behavior and Emotions during Crisis Events
Bibliographic Data
| ID | 15499727 |
|---|---|
| Authors | Mingyun Gu (China University of Geosciences), Haixiang Guo (0000-0002-4274-3975, China University of Geosciences, corresponding author), Jun Zhuang (0000-0003-4830-6570, University at Buffalo, State University of New York, corresponding author), Yufei Du (0009-0003-4505-1354, China University of Geosciences), Lijin Qian (0000-0003-3496-8573, China University of Geosciences) |
| Year | 2022 |
| Volume | 19 |
| Issue | 9 |
| Pages | 5197-5197 |
| Publication date | 2022-04-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19095197 |
| PMID | 35564591 |
| OpenAlex | W4224608774 |
| Language | EN |
| Citations received | 13 |
| References cited | 36 |
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
Business · China · Focus (optics · Government (linguistics · Internet privacy · Perspective (graphical · Political science · Public relations · Sentiment analysis · Social media · World Wide Web · Computer Science · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Psychology · Public Relations and Crisis Communication
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| Unique citing works | 13 |
|---|---|
| Citations per year | 4,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |