Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence
Chad A Melton, Olufunto A Olusanya, Nariman Ammar, Arash Shaban-Nejad

TL;DR
This study analyzes Reddit discussions on COVID-19 vaccines, revealing predominantly positive sentiment and focus on side effects, providing insights to improve vaccine confidence through targeted messaging and interventions.
Contribution
It applies sentiment analysis and topic modeling to Reddit data to understand vaccine-related discussions and sentiments over time, highlighting areas for public health messaging.
Findings
More positive than negative sentiment overall
Sentiment remained static over time
Focus on side effects rather than conspiracy theories
Abstract
The COVID-19 pandemic fueled one of the most rapid vaccine developments in history. However, misinformation spread through online social media often leads to negative vaccine sentiment and hesitancy. To investigate COVID-19 vaccine-related discussion in social media, we conducted a sentiment analysis and Latent Dirichlet Allocation topic modeling on textual data collected from 13 Reddit communities focusing on the COVID-19 vaccine from Dec 1, 2020, to May 15, 2021. Data were aggregated and analyzed by month to detect changes in any sentiment and latent topics. ty analysis suggested these communities expressed more positive sentiment than negative regarding the vaccine-related discussions and has remained static over time. Topic modeling revealed community members mainly focused on side effects rather than outlandish conspiracy theories. Covid-19 vaccine-related content from 13…
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Taxonomy
MethodsLinear Discriminant Analysis
