mlsanityData to 7 Oct 2026

Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis

arXiv 2104.11612 ↗First posted 23 Apr 2021cs.CL cs.SIcited by 8

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Abstract (arXiv)

Recently, research on mental health conditions using public online data, including Reddit, has surged in NLP and health research but has not reported user characteristics, which are important to judge generalisability of findings. This paper shows how existing NLP methods can yield information on clinical, demographic, and identity characteristics of almost 20K Reddit users who self-report a bipolar disorder diagnosis. This population consists of slightly more feminine- than masculine-gendered mainly young or middle-aged US-based adults who often report additional mental health diagnoses, which is compared with general Reddit statistics and epidemiological studies. Additionally, this paper carefully evaluates all methods and discusses ethical issues.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 5 of its 67 references that are in the map. First posted on arXiv 23 Apr 2021.

Builds on

5 of 67 references.

References · 5

  1. 2018SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditionscited by 73
  2. 2019Listening between the Lines: Learning Personal Attributes from Conversationscited by 15
  3. 2018Not Just Depressed: Bipolar Disorder Prediction on Redditcited by 9
  4. 2018Geocoding Without Geotags: A Text-based Approach for redditcited by 2
  5. 2019Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differencescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 2; 2026: 2.

8 papers.