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What Are You Anxious About? Examining Subjects of Anxiety during the COVID-19 Pandemic

arXiv 2209.13595 ↗First posted 27 Sep 2022cs.CY cs.CLcited by 0

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Abstract (arXiv)

COVID-19 poses disproportionate mental health consequences to the public during different phases of the pandemic. We use a computational approach to capture the specific aspects that trigger an online community's anxiety about the pandemic and investigate how these aspects change over time. First, we identified nine subjects of anxiety (SOAs) in a sample of Reddit posts (N=86) from r/COVID19support using thematic analysis. Then, we quantified Reddit users' anxiety by training algorithms on a manually annotated sample (N=793) to automatically label the SOAs in a larger chronological sample (N=6,535). The nine SOAs align with items in various recently developed pandemic anxiety measurement scales. We observed that Reddit users' concerns about health risks remained high in the first eight months of the pandemic. These concerns diminished dramatically despite the surge of cases occurring later. In general, users' language disclosing the SOAs became less intense as the pandemic progressed. However, worries about mental health and the future increased steadily throughout the period covered in this study. People also tended to use more intense language to describe mental health concerns than health risks or death concerns. Our results suggest that this online group's mental health condition does not necessarily improve despite COVID-19 gradually weakening as a health threat due to appropriate countermeasures. Our system lays the groundwork for population health and epidemiology scholars to examine aspects that provoke pandemic anxiety in a timely fashion.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 43 references that are in the map. First posted on arXiv 27 Sep 2022.

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References · 5

  1. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
  2. 2019HuggingFace's Transformers: State-of-the-art Natural Language Processingcited by 2,201
  3. 2018Tune: A Research Platform for Distributed Model Selection and Trainingcited by 395
  4. 2019What Twitter Profile and Posted Images Reveal About Depression and Anxietycited by 17
  5. 2020Examining the Role of Mood Patterns in Predicting Self-Reported Depressive symptomscited by 3

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