Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jul 1, 2022
Date Accepted: Jan 5, 2023
Date Submitted to PubMed: Feb 10, 2023

The final, peer-reviewed published version of this preprint can be found here:

Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter

Ramjee D, Pollack CC, Charpignon ML, Gupta S, Rivera JM, El Hayek G, Desai AN, Majumder MS

Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter

J Med Internet Res 2023;25:e40706

DOI: 10.2196/40706

PMID: 36763687

PMCID: 9973548

Is Evolving Face Mask Guidance During a Pandemic Harmful to Public Perception?: An Analysis of Sentiment and Emotion on Twitter: Infodemiology Study

  • Divya Ramjee; 
  • Catherine C. Pollack; 
  • Marie-Laure Charpignon; 
  • Shagun Gupta; 
  • Jessica Malaty Rivera; 
  • Ghinwa El Hayek; 
  • Angel N. Desai; 
  • Maimuna S. Majumder

ABSTRACT

Background:

Throughout the COVID-19 pandemic, U.S. Centers for Disease Control and Prevention policies on face mask usage fluctuated. This study assessed how mask sentiment evolved surrounding two policy announcements: (1) mask recommendation on April 3, 2020 and (2) relaxation on May 13, 2021.

Objective:

Understanding how public health communications evolve around key policy decisions may inform future decisions around preventative measures by aiding the design of communication strategies (e.g., wording, timing, channel) that ensure rapid dissemination and maximize both widespread adoption and sustained adherence.

Methods:

Interrupted time series methods were applied to U.S. Twitter data surrounding each policy change. Outcomes were changes in the (1) proportion of positive, negative, and neutral tweets and (2) number of words within a tweet tagged with a given emotion (e.g., trust). Results were compared to COVID-19 Twitter data without mask keywords for the same period.

Results:

There were fewer neutral mask-related tweets in 2020 (β = -3.94 percentage points, 95% CI: -4.68, -3.21, P < .001) and 2021 (β = -8.74, 95% CI: -9.31, -8.17, P < .001). Following the April 3rd recommendation (β = 0.51, 95% CI: 0.43, 0.59, P < .001) and May 13th relaxation (β = 3.43, 95% CI: 1.61, 5.26, P < .001), the percent of negative mask-related tweets increased. The amount of trust-related terms decreased following the policy change on April 3 (β = -0.004, 95% CI: -0.004, -0.003, P < .001) and May 13 (β = -0.001, 95% CI: -0.002, 0, P = .008).

Conclusions:

The U.S.-Twitter population responded negatively and with less trust following policy shifts, regardless of whether the policy recommended or relaxed mask usage. Federal agencies should ensure that changes in public health recommendations are communicated concisely and rapidly. Clinical Trial: n/a


 Citation

Please cite as:

Ramjee D, Pollack CC, Charpignon ML, Gupta S, Rivera JM, El Hayek G, Desai AN, Majumder MS

Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter

J Med Internet Res 2023;25:e40706

DOI: 10.2196/40706

PMID: 36763687

PMCID: 9973548

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.