BACKGROUND
Since COVID-19 was declared a pandemic by the World Health Organization (WHO) on March 11, 2020, the disease has had an unprecedented impact worldwide, with, as of December 21, 2021, more than 276 million confirmed cases and 5.3 million deaths[1]. Social media such as Reddit can serve as a resource for enhancing situational awareness, particularly regarding monitoring public attitudes and behavior during the crisis. Insights gained can then be utilized to better understand public attitudes and behaviors during the COVID-19 crisis, and to support communication and health promotion messaging.
OBJECTIVE
With this work, we compare public attitudes towards the 2020/2021 COVID-19 pandemic across four predominantly English-speaking countries (the United States, the United Kingdom, Canada, and Australia) using data derived from the social media platform Reddit.
METHODS
We utilized a natural language processing method called topic modeling (more specifically Latent Dirichlet Allocation). Topic modeling is a popular unsupervised learning technique that can be used to automatically in- fer topics (i.e. semantically-related categories) from a large corpus of text.
We derived our data from six country-specific, COVID-19-related subreddits (r/CoronavirusAustralia, r/CoronavirusDownunder, r/CoronavirusCanada, r/CanadaCoronavirus, r/CoronavirusUK, r/coronavirusus). We used topic modeling methods to investigate and compare topics of concern for each country.
RESULTS
From the Reddit data we found that (1) the volume of posting declined consistently across all four countries during the study period (Feb. 2020 to Nov. 2020); (2) during lockdown events, the volume of posts peaked; and (3) the UK and Australian subreddits contained much more policy discussion – and less conspiratorial content – than the US or Canadian subreddits.
CONCLUSIONS
This work demonstrated that (a) there were key differences between salient topics discussed across the four countries, and (b) Reddit data has the potential to provide insights not readily apparent in survey-based approaches.