# Not Just Depressed: Bipolar Disorder Prediction on Reddit

arXiv: https://arxiv.org/abs/1811.04655 · HTML: https://mlsanity.com/paper/1811.04655/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Nov 2018.

## Built on by (most cited first, 9 of 9)

- [Emotion fusion for mental illness detection from social media: A survey](https://mlsanity.com/paper/2304.09493/) (2023)
- [Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis](https://mlsanity.com/paper/2104.11612/) (2021)
- [Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook](https://mlsanity.com/paper/2406.05984/) (2024)
- [Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning](https://mlsanity.com/paper/2307.00995/) (2023)
- [Emotion-based Modeling of Mental Disorders on Social Media](https://mlsanity.com/paper/2201.09451/) (2022)
- [A Survey on Multilingual Mental Disorders Detection from Social Media Data](https://mlsanity.com/paper/2505.15556/) (2025)
- [KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text](https://mlsanity.com/paper/2204.04481/) (2022)
- [Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC](https://mlsanity.com/paper/2110.15023/) (2021)
- [RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations](https://mlsanity.com/paper/2606.27247/) (2026)

## Abstract (arXiv)

Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder prediction from user-generated text on Reddit, which relies on users' self-reported labels. Our benchmark classifiers for bipolar disorder prediction outperform the baselines and reach accuracy and F1-scores of above 86%. Feature analysis shows interesting differences in language use between users with bipolar disorders and the control group, including differences in the use of emotion-expressive words.