Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
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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
- 2018SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditionscited by 73
- 2019Listening between the Lines: Learning Personal Attributes from Conversationscited by 15
- 2018Not Just Depressed: Bipolar Disorder Prediction on Redditcited by 9
- 2018Geocoding Without Geotags: A Text-based Approach for redditcited by 2
- 2019Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differencescited by 1
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 2; 2026: 2.
8 papers.
- 2023Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learningcited by 5
- 2021Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain datasetcited by 1
- 2022Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platformscited by 1
- 2025On the Interplay between Musical Preferences and Personality through the Lens of Languagecited by 1
- 2024That's Optional: A Contemporary Exploration of "that" Omission in English Subordinate Clausescited by 0
- 2025Who are you, ChatGPT? Personality and Demographic Style in LLM-Generated Contentcited by 0
- 2026Beyond the Rabbit Hole: Mapping the Relational Harms of QAnon Radicalizationcited by 0
- 2026When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Mediacited by 0
- 2026When Words Divide: Diachronic Ideological Polarization in Political Discourse on Social Media2 Aug 2026
- 2026Beyond the Rabbit Hole: Mapping the Relational Harms of QAnon Radicalization25 Jan 2026
- 2025Who are you, ChatGPT? Personality and Demographic Style in LLM-Generated Content13 Oct 2025
- 2025On the Interplay between Musical Preferences and Personality through the Lens of Language25 Aug 2025
- 2024That's Optional: A Contemporary Exploration of "that" Omission in English Subordinate Clauses31 May 2024
- 2023Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning3 Jul 2023
- 2022Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms21 Oct 2022
- 2021Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain dataset23 Aug 2021