Discovering habits of effective online support group chatrooms

Elijah Mayfield, Miaomiao Wen, Mitch Golant, Carolyn Penstein Rosé
2012 Proceedings of the 17th ACM international conference on Supporting group work - GROUP '12  
For users of online support groups, prior research has suggested that a positive social environment is a key enabler of coping. Typically, demonstrating such claims about social interaction would be approached through the lens of sentiment analysis. In this work, we argue instead for a multifaceted view of emotional state, which incorporates both a static view of emotion (sentiment) with a dynamic view based on the behaviors present in a text. We codify this dynamic view through data
more » ... marking information sharing, sentiment, and coping efficacy. Through machine learning analysis of these annotations, we demonstrate that while sentiment predicts a user's stress at the beginning of a chat, dynamic views of efficacy are stronger indicators of stress reduction.
doi:10.1145/2389176.2389216 dblp:conf/group/MayfieldWGR12 fatcat:gx3izvb5yfhndbd4mngvm7dgee