2020 EMNLP EMNLP 2020

Quantifying the Effects of COVID-19 on Mental Health Support Forums

Abstract

AbstractThe COVID-19 pandemic, like many of the disease outbreaks that have preceded it, is likely to have a profound effect on mental health. Understanding its impact can inform strategies for mitigating negative consequences. In this work, we seek to better understand the effects of COVID-19 on mental health by examining discussions within mental health support communities on Reddit. First, we quantify the rate at which COVID-19 is discussed in each community, or subreddit, in order to understand levels of pandemic-related discussion. Next, we examine the volume of activity in order to determine whether the number of people discussing mental health has risen. Finally, we analyze how COVID-19 has influenced language use and topics of discussion within each subreddit.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Data Science & Analytics and Healthcare & Medicine and Interdisciplinary and Machine Learning
🧭 Keyword Pioneer — covid-19 mental health
🐣 Hot Topic Early Bird — mental health
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio