Cross-Platform Prediction of Psychiatric Hospitalization via Social Media Data: A Comparison Study

Our project aims to examine whether it is feasible to build machine learning classifiers that can effectively predict an upcoming psychiatric hospitalization given social media data from platforms unseen in the classifiers' training data, despite the preliminary evidence on identity fragmentation between Facebook, Twitter, and Instagram. It also aims to explain any discrepancies in performance that are found during analysis between intra- and inter-platform classification.