Learning Representations of Social Media Users

Abstract

Social media users routinely interact by posting text updates, sharing images and videos, and establishing connections with other users through friending. User representations are routinely used in recommendation systems by platform developers, targeted advertisements by marketers, and by public policy researchers to gauge public opinion across demographic groups. Computer scientists consider the problem of 5.5 Precision-recall curves for predicting each mental health condition. xxii 6.1 Boxplots of mean cross-fold F1-score as a function of different hyperparameters: RNN bi-directionality (upper left), number of layers (upper right), hidden layer width (lower left), embedding width (lower center), and dropout rate (lower right) for an Author Text-pretrained RNN on the "Feminism Movement" stance classification task. . . . 176 xxiii