Title: Not Just Depressed: Bipolar Disorder Prediction on Reddit Abstract: Research of language use in authors affected by mental disorders is geared toward a deeper understanding of mental health and the development of models for early detection of various disorders. In this talk, the focus is on bipolar disorder, an illness characterized by manic and depressive episodes, which 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%. I will also talk about interesting differences in language use between users with bipolar disorder and the control group, including differences in the use of emotion-expressive words.