Accepted for/Published in: JMIR Infodemiology
Date Submitted: Jul 24, 2021
Date Accepted: Dec 21, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Partisan differences in legislators’ discussion of vaccination on Twitter during the COVID-19 era: a natural language processing analysis
ABSTRACT
Background:
The COVID-19 era has been characterized by the politicization of health-related topics. This is especially concerning given evidence that politicized discussion of vaccination may contribute to vaccine hesitancy. No research, however, has examined the content and politicization of legislator communication with the public about vaccination during the COVID-19 era.
Objective:
To describe the content and politicization of legislator discussion of vaccination during the COVID-19 era.
Methods:
We abstracted all vaccine-related tweets produced by state and federal legislators between 2/1/20 and 12/11/20. We used Latent Dirichlet allocation to define tweet topic and used descriptive statistics to describe differences by party in the use of topics and changes in partisanship over time.
Results:
We included 14,519 tweets generated by 1,463 state and 521 federal legislators. Republicans were more likely to use words (e.g., “record time”, “launched”, “innovation”) and topics (e.g., Operation Warp Speed success) that were focused on the successful development of a SARS-CoV-2 vaccine. Democrats used a broader range of words (e.g., “anti-vaxxers”, “flu”, “free”) and topics (e.g., vaccine prioritization, influenza, anti-vaxxers) that were more aligned with public health messaging related to the vaccine. Partisanship increased over most of the study period.
Conclusions:
Republican and Democratic legislators used different language in their Twitter conversations about vaccination during the COVID-19 era, leading to increased partisanship of vaccine-related tweets. These communication patterns have the potential to contribute to vaccine hesitancy. Clinical Trial: n/a
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