Paper: Self-Disclosure and Relationship Strength in Twitter Conversations

ACL ID P12-2012
Title Self-Disclosure and Relationship Strength in Twitter Conversations
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

In social psychology, it is generally accepted that one discloses more of his/her personal in- formation to someone in a strong relationship. We present a computational framework for au- tomatically analyzing such self-disclosure be- havior in Twitter conversations. Our frame- work uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable information (PII) and personally embarrassing information (PEI). Our preliminary results illustrate that in relationships with high relationship strength, Twitter users show significantly more frequent behaviors of self-disclosure.