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Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study
BACKGROUND: Worldwide, social media traffic increased following the onset of the COVID-19 pandemic. Although the spread of COVID-19 content has been described for several social media platforms (eg, Twitter and Facebook), little is known about how such content is spread via private messaging platfor...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709420/ https://www.ncbi.nlm.nih.gov/pubmed/34881720 http://dx.doi.org/10.2196/34218 |
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author | Tan, Edina YQ Wee, Russell RE Saw, Young Ern Heng, Kylie JQ Chin, Joseph WE Tong, Eddie MW Liu, Jean CJ |
author_facet | Tan, Edina YQ Wee, Russell RE Saw, Young Ern Heng, Kylie JQ Chin, Joseph WE Tong, Eddie MW Liu, Jean CJ |
author_sort | Tan, Edina YQ |
collection | PubMed |
description | BACKGROUND: Worldwide, social media traffic increased following the onset of the COVID-19 pandemic. Although the spread of COVID-19 content has been described for several social media platforms (eg, Twitter and Facebook), little is known about how such content is spread via private messaging platforms, such as WhatsApp (WhatsApp LLC). OBJECTIVE: In this study, we documented (1) how WhatsApp is used to transmit COVID-19 content, (2) the characteristics of WhatsApp users based on their usage patterns, and (3) how usage patterns link to COVID-19 concerns. METHODS: We used the experience sampling method to track day-to-day WhatsApp usage during the COVID-19 pandemic. For 1 week, participants reported each day the extent to which they had received, forwarded, or discussed COVID-19 content. The final data set comprised 924 data points, which were collected from 151 participants. RESULTS: During the weeklong monitoring process, most participants (143/151, 94.7%) reported at least 1 COVID-19–related use of WhatsApp. When a taxonomy was generated based on usage patterns, around 1 in 10 participants (21/151, 13.9%) were found to have received and shared a high volume of forwarded COVID-19 content, akin to super-spreaders identified on other social media platforms. Finally, those who engaged with more COVID-19 content in their personal chats were more likely to report having COVID-19–related thoughts throughout the day. CONCLUSIONS: Our findings provide a rare window into discourse on private messaging platforms. Such data can be used to inform risk communication strategies during the pandemic. TRIAL REGISTRATION: ClinicalTrials.gov NCT04367363; https://clinicaltrials.gov/ct2/show/NCT04367363 |
format | Online Article Text |
id | pubmed-8709420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87094202022-01-10 Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study Tan, Edina YQ Wee, Russell RE Saw, Young Ern Heng, Kylie JQ Chin, Joseph WE Tong, Eddie MW Liu, Jean CJ J Med Internet Res Original Paper BACKGROUND: Worldwide, social media traffic increased following the onset of the COVID-19 pandemic. Although the spread of COVID-19 content has been described for several social media platforms (eg, Twitter and Facebook), little is known about how such content is spread via private messaging platforms, such as WhatsApp (WhatsApp LLC). OBJECTIVE: In this study, we documented (1) how WhatsApp is used to transmit COVID-19 content, (2) the characteristics of WhatsApp users based on their usage patterns, and (3) how usage patterns link to COVID-19 concerns. METHODS: We used the experience sampling method to track day-to-day WhatsApp usage during the COVID-19 pandemic. For 1 week, participants reported each day the extent to which they had received, forwarded, or discussed COVID-19 content. The final data set comprised 924 data points, which were collected from 151 participants. RESULTS: During the weeklong monitoring process, most participants (143/151, 94.7%) reported at least 1 COVID-19–related use of WhatsApp. When a taxonomy was generated based on usage patterns, around 1 in 10 participants (21/151, 13.9%) were found to have received and shared a high volume of forwarded COVID-19 content, akin to super-spreaders identified on other social media platforms. Finally, those who engaged with more COVID-19 content in their personal chats were more likely to report having COVID-19–related thoughts throughout the day. CONCLUSIONS: Our findings provide a rare window into discourse on private messaging platforms. Such data can be used to inform risk communication strategies during the pandemic. TRIAL REGISTRATION: ClinicalTrials.gov NCT04367363; https://clinicaltrials.gov/ct2/show/NCT04367363 JMIR Publications 2021-12-23 /pmc/articles/PMC8709420/ /pubmed/34881720 http://dx.doi.org/10.2196/34218 Text en ©Edina YQ Tan, Russell RE Wee, Young Ern Saw, Kylie JQ Heng, Joseph WE Chin, Eddie MW Tong, Jean CJ Liu. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.12.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Tan, Edina YQ Wee, Russell RE Saw, Young Ern Heng, Kylie JQ Chin, Joseph WE Tong, Eddie MW Liu, Jean CJ Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study |
title | Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study |
title_full | Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study |
title_fullStr | Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study |
title_full_unstemmed | Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study |
title_short | Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study |
title_sort | tracking private whatsapp discourse about covid-19 in singapore: longitudinal infodemiology study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709420/ https://www.ncbi.nlm.nih.gov/pubmed/34881720 http://dx.doi.org/10.2196/34218 |
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