Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina
Christopher Whitfield, Yang Liu, Mohd Anwar

TL;DR
This study analyzes Reddit posts from North Carolina to understand public engagement with COVID-19 mitigation strategies using NLP techniques, revealing prevalent topics like masks, testing, and employment concerns.
Contribution
It introduces a novel NLP-based approach to monitor public health behaviors and concerns through social media data during the COVID-19 pandemic.
Findings
Masks, testing, and employment are the most discussed topics.
Named-entity recognition identified key entities related to PPE and symptoms.
Mitigation measures dominate the discussion across subreddits.
Abstract
Coronavirus disease (COVID-19) pandemic has changed various aspects of people's lives and behaviors. At this stage, there are no other ways to control the natural progression of the disease than adopting mitigation strategies such as wearing masks, watching distance, and washing hands. Moreover, at this time of social distancing, social media plays a key role in connecting people and providing a platform for expressing their feelings. In this study, we tap into social media to surveil the uptake of mitigation and detection strategies, and capture issues and concerns about the pandemic. In particular, we explore the research question, "how much can be learned regarding the public uptake of mitigation strategies and concerns about COVID-19 pandemic by using natural language processing on Reddit posts?" After extracting COVID-related posts from the four largest subreddit communities of…
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Taxonomy
TopicsMisinformation and Its Impacts · Sentiment Analysis and Opinion Mining · Data-Driven Disease Surveillance
