DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods

arXiv:2403.05700v1 Announce Type: new
Abstract: Social scientists increasingly use demographically stratified social media data to study the attitudes, beliefs, and behavior of the general public. To facilitate such analyses, we construct, validate, and release publicly the representative DADIT dataset of 30M tweets of 20k Italian Twitter users, along with their bios and profile pictures. We enrich the user data with high-quality labels for gender, age, and location. DADIT enables us to train and compare the performance of various state-of-the-art models …

abstract arxiv behavior classification comparison construct cs.cl data dataset general italian media media data prediction public release scientists social social media study tweets twitter type