Contextual representation of self-disclosure and supportiveness in short text

As user engagement in online public discourse continues to richen, voluntary disclosure of personal information and its associated risks to privacy and security are of increasing concern. Users are often unaware of the sheer amount of personal information they share across online forums, commentaries, and social networks, as well as the power of modern AI to synthesize and gain insights from this data. We develop a novel multi-modal approach for the joint classiffcation of self-disclosure and supportiveness in short text. We take an ensemble approach for representation learning, leveraging BERT, LSTM, and CNN neural networks.