Journal article
Public risk perception and emotion on Twitter during the Covid-19 pandemic
- Abstract:
-
Successful navigation of the Covid-19 pandemic is predicated on public cooperation with safety measures and appropriate perception of risk, in which emotion and attention play important roles. Signatures of public emotion and attention are present in social media data, thus natural language analysis of this text enables near-to-real-time monitoring of indicators of public risk perception. We compare key epidemiological indicators of the progression of the pandemic with indicators of the publi...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Journal:
- Applied Network Science Journal website
- Volume:
- 5
- Article number:
- 99
- Publication date:
- 2020-12-16
- Acceptance date:
- 2020-11-03
- DOI:
- EISSN:
-
2364-8228
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1151958
- Local pid:
- pubs:1151958
- Deposit date:
- 2021-01-04
Terms of use
- Copyright holder:
- Joel Dyer and Blas Kolic
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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