Cargando…
Analyzing an Emerging Pandemic on Twitter: Monkeypox
BACKGROUND: Social media platforms like Twitter provide important insights into the public's perceptions of global outbreaks like monkeypox. By analyzing tweets, we aimed to identify public knowledge and opinions on the monkeypox virus and related public health issues. METHODS: We analyzed Engl...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077829/ https://www.ncbi.nlm.nih.gov/pubmed/37035497 http://dx.doi.org/10.1093/ofid/ofad142 |
_version_ | 1785020389972246528 |
---|---|
author | Cooper, Lauren N Radunsky, Alexander P Hanna, John J Most, Zachary M Perl, Trish M Lehmann, Christoph U Medford, Richard J |
author_facet | Cooper, Lauren N Radunsky, Alexander P Hanna, John J Most, Zachary M Perl, Trish M Lehmann, Christoph U Medford, Richard J |
author_sort | Cooper, Lauren N |
collection | PubMed |
description | BACKGROUND: Social media platforms like Twitter provide important insights into the public's perceptions of global outbreaks like monkeypox. By analyzing tweets, we aimed to identify public knowledge and opinions on the monkeypox virus and related public health issues. METHODS: We analyzed English-language tweets using the keyword “monkeypox” from 1 May to 23 July 2022. We reported gender, ethnicity, and race of Twitter users and analyzed tweets to identify predominant sentiment and emotions. We performed topic modeling and compared cohorts of users who self-identify as LGBTQ+ (an abreviation for lesbian, gay, bisexual, transgender, queer, and/or questioning) allies versus users who do not, and cohorts identified as “bots” versus humans. RESULTS: A total of 48 330 tweets were written by LGBTQ+ self-identified advocates or allies. The mean sentiment score for all tweets was −0.413 on a −4 to +4 scale. Negative tweets comprised 39% of tweets. The most common emotions expressed were fear and sadness. Topic modeling identified unique topics among the 4 cohorts analyzed. CONCLUSIONS: The spread of mis- and disinformation about monkeypox was common in our tweet library. Various conspiracy theories about the origins of monkeypox, its relationship to global economic concerns, and homophobic and racial comments were common. Conversely, many other tweets helped to provide information about monkeypox vaccines, disease symptoms, and prevention methods. Discussion of rising monkeypox case numbers globally was also a large aspect of the conversation. CONCLUSIONS: We demonstrated that Twitter is an effective means of tracking sentiment about public healthcare issues. We gained insight into a subset of people, self-identified LGBTQ+ allies, who were more affected by monkeypox. |
format | Online Article Text |
id | pubmed-10077829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100778292023-04-07 Analyzing an Emerging Pandemic on Twitter: Monkeypox Cooper, Lauren N Radunsky, Alexander P Hanna, John J Most, Zachary M Perl, Trish M Lehmann, Christoph U Medford, Richard J Open Forum Infect Dis Major Article BACKGROUND: Social media platforms like Twitter provide important insights into the public's perceptions of global outbreaks like monkeypox. By analyzing tweets, we aimed to identify public knowledge and opinions on the monkeypox virus and related public health issues. METHODS: We analyzed English-language tweets using the keyword “monkeypox” from 1 May to 23 July 2022. We reported gender, ethnicity, and race of Twitter users and analyzed tweets to identify predominant sentiment and emotions. We performed topic modeling and compared cohorts of users who self-identify as LGBTQ+ (an abreviation for lesbian, gay, bisexual, transgender, queer, and/or questioning) allies versus users who do not, and cohorts identified as “bots” versus humans. RESULTS: A total of 48 330 tweets were written by LGBTQ+ self-identified advocates or allies. The mean sentiment score for all tweets was −0.413 on a −4 to +4 scale. Negative tweets comprised 39% of tweets. The most common emotions expressed were fear and sadness. Topic modeling identified unique topics among the 4 cohorts analyzed. CONCLUSIONS: The spread of mis- and disinformation about monkeypox was common in our tweet library. Various conspiracy theories about the origins of monkeypox, its relationship to global economic concerns, and homophobic and racial comments were common. Conversely, many other tweets helped to provide information about monkeypox vaccines, disease symptoms, and prevention methods. Discussion of rising monkeypox case numbers globally was also a large aspect of the conversation. CONCLUSIONS: We demonstrated that Twitter is an effective means of tracking sentiment about public healthcare issues. We gained insight into a subset of people, self-identified LGBTQ+ allies, who were more affected by monkeypox. Oxford University Press 2023-03-18 /pmc/articles/PMC10077829/ /pubmed/37035497 http://dx.doi.org/10.1093/ofid/ofad142 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Article Cooper, Lauren N Radunsky, Alexander P Hanna, John J Most, Zachary M Perl, Trish M Lehmann, Christoph U Medford, Richard J Analyzing an Emerging Pandemic on Twitter: Monkeypox |
title | Analyzing an Emerging Pandemic on Twitter: Monkeypox |
title_full | Analyzing an Emerging Pandemic on Twitter: Monkeypox |
title_fullStr | Analyzing an Emerging Pandemic on Twitter: Monkeypox |
title_full_unstemmed | Analyzing an Emerging Pandemic on Twitter: Monkeypox |
title_short | Analyzing an Emerging Pandemic on Twitter: Monkeypox |
title_sort | analyzing an emerging pandemic on twitter: monkeypox |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077829/ https://www.ncbi.nlm.nih.gov/pubmed/37035497 http://dx.doi.org/10.1093/ofid/ofad142 |
work_keys_str_mv | AT cooperlaurenn analyzinganemergingpandemicontwittermonkeypox AT radunskyalexanderp analyzinganemergingpandemicontwittermonkeypox AT hannajohnj analyzinganemergingpandemicontwittermonkeypox AT mostzacharym analyzinganemergingpandemicontwittermonkeypox AT perltrishm analyzinganemergingpandemicontwittermonkeypox AT lehmannchristophu analyzinganemergingpandemicontwittermonkeypox AT medfordrichardj analyzinganemergingpandemicontwittermonkeypox |