Paper: Self-disclosure topic model for classifying and analyzing Twitter conversations

ACL ID D14-1213
Title Self-disclosure topic model for classifying and analyzing Twitter conversations
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Self-disclosure, the act of revealing one- self to others, is an important social be- havior that strengthens interpersonal rela- tionships and increases social support. Al- though there are many social science stud- ies of self-disclosure, they are based on manual coding of small datasets and ques- tionnaires. We conduct a computational analysis of self-disclosure with a large dataset of naturally-occurring conversa- tions, a semi-supervised machine learning algorithm, and a computational analysis of the effects of self-disclosure on subse- quent conversations. We use a longitu- dinal dataset of 17 million tweets, all of which occurred in conversations that con- sist of five or more tweets directly reply- ing to the previous tweet, and from dyads with twenty of more conversations each. We...