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An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19
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 fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809642/ https://www.ncbi.nlm.nih.gov/pubmed/33469243 http://dx.doi.org/10.1007/s11069-020-04497-5 |
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author | Wang, Bairong Liu, Bin Zhang, Qi |
author_facet | Wang, Bairong Liu, Bin Zhang, Qi |
author_sort | Wang, Bairong |
collection | PubMed |
description | 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 [Formula: see text] 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 [Formula: see text] of them done within 10 min. Nearly [Formula: see text] of the retweeting processes could have [Formula: see text] 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 [Formula: see text] original tweets whose retweeting distributions left unexplained. Results of retweeting community analysis show that following retweeters contribute to nearly [Formula: see text] of the retweets. In addition, the retweeting contribution of verified Twitter users is significantly [Formula: see text] different from that of unverified users. A similar significant [Formula: see text] 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. |
format | Online Article Text |
id | pubmed-7809642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-78096422021-01-15 An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 Wang, Bairong Liu, Bin Zhang, Qi Nat Hazards (Dordr) Original Paper 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 [Formula: see text] 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 [Formula: see text] of them done within 10 min. Nearly [Formula: see text] of the retweeting processes could have [Formula: see text] 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 [Formula: see text] original tweets whose retweeting distributions left unexplained. Results of retweeting community analysis show that following retweeters contribute to nearly [Formula: see text] of the retweets. In addition, the retweeting contribution of verified Twitter users is significantly [Formula: see text] different from that of unverified users. A similar significant [Formula: see text] 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. Springer Netherlands 2021-01-15 2021 /pmc/articles/PMC7809642/ /pubmed/33469243 http://dx.doi.org/10.1007/s11069-020-04497-5 Text en © The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Wang, Bairong Liu, Bin Zhang, Qi An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
title | An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
title_full | An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
title_fullStr | An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
title_full_unstemmed | An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
title_short | An empirical study on Twitter’s use and crisis retweeting dynamics amid Covid-19 |
title_sort | empirical study on twitter’s use and crisis retweeting dynamics amid covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809642/ https://www.ncbi.nlm.nih.gov/pubmed/33469243 http://dx.doi.org/10.1007/s11069-020-04497-5 |
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