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A deep dive into COVID-19-related messages on WhatsApp in Pakistan
The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, Twitter, Facebook, etc. In this work, we give an extended overview of how Pakist...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590927/ https://www.ncbi.nlm.nih.gov/pubmed/34804253 http://dx.doi.org/10.1007/s13278-021-00833-0 |
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author | Javed, R. Tallal Usama, Muhammad Iqbal, Waleed Qadir, Junaid Tyson, Gareth Castro, Ignacio Garimella, Kiran |
author_facet | Javed, R. Tallal Usama, Muhammad Iqbal, Waleed Qadir, Junaid Tyson, Gareth Castro, Ignacio Garimella, Kiran |
author_sort | Javed, R. Tallal |
collection | PubMed |
description | The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, Twitter, Facebook, etc. In this work, we give an extended overview of how Pakistan’s population used public WhatsApp groups for sharing information related to the pandemic. Our work is based on a major effort to annotate thousands of text and image-based messages. We explore how information propagates across WhatsApp and the user behavior around it. Specifically, we look at political polarization and its impact on how users from different political parties shared COVID-19-related content. We also try to understand information dissemination across different social networks—Twitter and WhatsApp—in Pakistan and find that there is no significant bot involvement in spreading misinformation about the pandemic. |
format | Online Article Text |
id | pubmed-8590927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-85909272021-11-15 A deep dive into COVID-19-related messages on WhatsApp in Pakistan Javed, R. Tallal Usama, Muhammad Iqbal, Waleed Qadir, Junaid Tyson, Gareth Castro, Ignacio Garimella, Kiran Soc Netw Anal Min Original Article The spread of COVID-19 and the lockdowns that followed led to an increase in activity on online social networks. This has resulted in users sharing unfiltered and unreliable information on social networks like WhatsApp, Twitter, Facebook, etc. In this work, we give an extended overview of how Pakistan’s population used public WhatsApp groups for sharing information related to the pandemic. Our work is based on a major effort to annotate thousands of text and image-based messages. We explore how information propagates across WhatsApp and the user behavior around it. Specifically, we look at political polarization and its impact on how users from different political parties shared COVID-19-related content. We also try to understand information dissemination across different social networks—Twitter and WhatsApp—in Pakistan and find that there is no significant bot involvement in spreading misinformation about the pandemic. Springer Vienna 2021-11-15 2022 /pmc/articles/PMC8590927/ /pubmed/34804253 http://dx.doi.org/10.1007/s13278-021-00833-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, 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 Article Javed, R. Tallal Usama, Muhammad Iqbal, Waleed Qadir, Junaid Tyson, Gareth Castro, Ignacio Garimella, Kiran A deep dive into COVID-19-related messages on WhatsApp in Pakistan |
title | A deep dive into COVID-19-related messages on WhatsApp in Pakistan |
title_full | A deep dive into COVID-19-related messages on WhatsApp in Pakistan |
title_fullStr | A deep dive into COVID-19-related messages on WhatsApp in Pakistan |
title_full_unstemmed | A deep dive into COVID-19-related messages on WhatsApp in Pakistan |
title_short | A deep dive into COVID-19-related messages on WhatsApp in Pakistan |
title_sort | deep dive into covid-19-related messages on whatsapp in pakistan |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590927/ https://www.ncbi.nlm.nih.gov/pubmed/34804253 http://dx.doi.org/10.1007/s13278-021-00833-0 |
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