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Fear and hope in financial social networks: Evidence from COVID-19
This paper examines the diffusion of COVID-19 news on social media using a large sample of approximately 45 million tweets. Using textual analysis, I identify tweets containing COVID-19 news, and construct an index representing the intensity of Twitter discussions. Moreover, I use retweets and favor...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634508/ https://www.ncbi.nlm.nih.gov/pubmed/36348764 http://dx.doi.org/10.1016/j.frl.2021.102271 |
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author | Al Guindy, Mohamed |
author_facet | Al Guindy, Mohamed |
author_sort | Al Guindy, Mohamed |
collection | PubMed |
description | This paper examines the diffusion of COVID-19 news on social media using a large sample of approximately 45 million tweets. Using textual analysis, I identify tweets containing COVID-19 news, and construct an index representing the intensity of Twitter discussions. Moreover, I use retweets and favorites as additional measures of investor attention to COVID-19. The results show that the intensity of Twitter discussions about COVID-19 (and about the treatment program) correspond to market returns. This suggests a role for financial social networks in transmitting information related to crises, such as COVID-19, and the resolution of crises. |
format | Online Article Text |
id | pubmed-9634508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96345082022-11-04 Fear and hope in financial social networks: Evidence from COVID-19 Al Guindy, Mohamed Financ Res Lett Article This paper examines the diffusion of COVID-19 news on social media using a large sample of approximately 45 million tweets. Using textual analysis, I identify tweets containing COVID-19 news, and construct an index representing the intensity of Twitter discussions. Moreover, I use retweets and favorites as additional measures of investor attention to COVID-19. The results show that the intensity of Twitter discussions about COVID-19 (and about the treatment program) correspond to market returns. This suggests a role for financial social networks in transmitting information related to crises, such as COVID-19, and the resolution of crises. Elsevier Inc. 2022-05 2021-07-03 /pmc/articles/PMC9634508/ /pubmed/36348764 http://dx.doi.org/10.1016/j.frl.2021.102271 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Al Guindy, Mohamed Fear and hope in financial social networks: Evidence from COVID-19 |
title | Fear and hope in financial social networks: Evidence from COVID-19 |
title_full | Fear and hope in financial social networks: Evidence from COVID-19 |
title_fullStr | Fear and hope in financial social networks: Evidence from COVID-19 |
title_full_unstemmed | Fear and hope in financial social networks: Evidence from COVID-19 |
title_short | Fear and hope in financial social networks: Evidence from COVID-19 |
title_sort | fear and hope in financial social networks: evidence from covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634508/ https://www.ncbi.nlm.nih.gov/pubmed/36348764 http://dx.doi.org/10.1016/j.frl.2021.102271 |
work_keys_str_mv | AT alguindymohamed fearandhopeinfinancialsocialnetworksevidencefromcovid19 |