TY - JOUR
T1 - Analyzing an Emerging Pandemic on Twitter
T2 - Monkeypox
AU - Cooper, Lauren N.
AU - Radunsky, Alexander P.
AU - Hanna, John J.
AU - Most, Zachary M.
AU - Perl, Trish M.
AU - Lehmann, Christoph U.
AU - Medford, Richard
N1 - Funding Information:
This work was supported by grant funding from the Centers for Disease Control and Prevention and research funding from Verily Life Sciences, the Sergey Brin Family Foundation, and the Texas Health Resources Clinical Scholar program to R. J. M. Research reported in this publication was also supported by the National Center for Advancing Translational Sciences of the National Institutes of Health (award number UL1 TR003163).
Publisher Copyright:
© 2023 Oxford University Press. All rights reserved.
PY - 2023/4/1
Y1 - 2023/4/1
N2 - 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.
AB - 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.
KW - Twitter
KW - monkeypox
KW - pandemic
KW - social media
KW - topic modeling
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U2 - 10.1093/ofid/ofad142
DO - 10.1093/ofid/ofad142
M3 - Article
C2 - 37035497
AN - SCOPUS:85159054756
SN - 2328-8957
VL - 10
JO - Open Forum Infectious Diseases
JF - Open Forum Infectious Diseases
IS - 4
M1 - ofad142
ER -