| DOI: | 10.1007/s11069-020-04497-5
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| 论文题名: | An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
| 作者: | Wang B.; Liu B.; Zhang Q.
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| 刊名: | Natural Hazards
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| ISSN: | 0921030X
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| 出版年: | 2021
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| 卷: | 107, 期:3 | | 起始页码: | 2319
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| 结束页码: | 2336
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| 语种: | 英语
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| 中文关键词: | Covid-19
; Crisis communication
; Retweeting dynamics
; Twitter use
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| 英文关键词: | COVID-19
; crisis management
; information and communication technology
; Internet
; social media
; social network
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| 英文摘要: | This study conducts an analysis on topics of the most diffused tweets and retweeting dynamics of crisis information amid Covid-19 to provide insights into how Twitter is used by the public and how crisis information is diffused on Twitter amid this pandemic. Results show that Twitter is first and foremost used as a news seeking and sharing platform with more than 70 % of the most diffused tweets being related to news and comments on crisis updates. As for the retweeting dynamics, our results show an almost immediate response from Twitter users, with some first retweets occurring as quickly as within 2 s and the vast majority (90 %) of them done within 10 min. Nearly 86 % of the retweeting processes could have 75 % of their retweets finished within 24 h, indicating a 1-day information value of tweets. Distribution of retweeting behaviors could be modeled by Power law, Weibull, and Log normal in this study, but still there are 20 % original tweets whose retweeting distributions left unexplained. Results of retweeting community analysis show that following retweeters contribute to nearly 50 % of the retweets. In addition, the retweeting contribution of verified Twitter users is significantly (P< 0.05) different from that of unverified users. A similar significant (P< 0.05) difference is also found in their rates of verified retweeters, and it has been shown that verified Twitter users enjoy seven times as high value as that of unverified users. In other words, users with the same verification status are more likely to get together to diffuse crisis information. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/169434
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| Appears in Collections: | 气候变化与战略
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作者单位: | School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China
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| Recommended Citation: | |
Wang B.,Liu B.,Zhang Q.. An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19[J]. Natural Hazards,2021-01-01,107(3)
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