5 Years of bipolar disorder conversations on Reddit: Methods, key topics and future directions
Caden Poh, Cheyanne Head, John-Jose Nunez, Laura Lapadat, Emma Morton, Erin E. Michalak
PLoS One March 6, 2026 DOI: 10.1371/journal.pone.0338622 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Qualitative study using topic modeling Peer reviewed |
|---|---|
| Population | People with bipolar disorder and their supporters who submitted questions to a Reddit AMA |
| Duration | Five years of AMA events |
| Citations | 1 |
| Key findings | The most common topic among questions from people with bipolar disorder and their supporters was misdiagnosis and differential diagnoses of bipolar disorder. |
Abstract
Bipolar disorder (BD) is a prevalent mood disorder that can be associated with serious personal, societal, and economic costs. Growing attention is being paid to the importance of including the experiences of people living with BD in research and healthcare system advancement. However, there is still much to be learned about what people with BD are prioritizing, and where their needs are not yet being met in research and clinical settings. For the past five years, the Collaborative RESearch Team to study psychosocial issues in Bipolar Disorder (CREST.BD) has facilitated the world's largest online BD question-and-answer event, an "Ask Me Anything" (AMA) hosted via Reddit. This event allows people internationally to submit BD-related questions to be answered by expert panelists. Altogether, 159 panelists with diverse expertise in BD have participated, and more than 2,000 questions addressed. After five years, the Reddit AMAs have become a large repository of questions that represent the needs and interests of individuals with BD and their supporters. This study used topic modeling, a natural language processing (NLP) method, to algorithmically extract key topics from AMA queries collected over five years. Queries were extracted using a python script and the Reddit API; BERTopic was used for topic modelling. Topic models of 10, 20, and an unrestricted number of topics were run; the 20 topic model was chosen as it best balanced specificity and breadth. The most common topic was BD misdiagnosis/differential diagnoses. Other topics included coping with daily struggles; understanding hypomania and suicidality; medication and use of substances such as psilocybin and ketamine; and supporting loved ones with BD. Future research in these areas would be beneficial for individuals with BD and their loved ones, and patients with BD may benefit from clinicians addressing these topics. Ethical issues are also discussed.