%0 Conference Paper %1 Mayfield_2012 %A Mayfield, Elijah %A Wen, Miaomiao %A Golant, Mitch %A Rosé, Carolyn Penstein %B Proceedings of the 17th ACM international conference on Supporting group work - GROUP \textquotesingle12 %D 2012 %I ACM Press %K forum health helper %P 263-272 %R 10.1145/2389176.2389216 %T Discovering habits of effective online support group chatrooms %U https://doi.org/10.1145%2F2389176.2389216 %X 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 annotations 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.

@inproceedings{Mayfield_2012, abstract = {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 annotations 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. }, added-at = {2020-10-13T17:16:23.000+0200}, author = {Mayfield, Elijah and Wen, Miaomiao and Golant, Mitch and Ros{\'{e}}, Carolyn Penstein}, biburl = {https://www.bibsonomy.org/bibtex/2b5346379a1e2ca5111501bd2060df24e/brusilovsky}, booktitle = {Proceedings of the 17th {ACM} international conference on Supporting group work - {GROUP} {\textquotesingle}12}, description = {Discovering habits of effective online support group chatrooms | Proceedings of the 17th ACM international conference on Supporting group work}, doi = {10.1145/2389176.2389216}, interhash = {4dacc22303ea15040ba62ffc507d8239}, intrahash = {b5346379a1e2ca5111501bd2060df24e}, keywords = {forum health helper}, pages = {263-272}, publisher = {{ACM} Press}, timestamp = {2020-10-13T17:16:23.000+0200}, title = {Discovering habits of effective online support group chatrooms}, url = {https://doi.org/10.1145%2F2389176.2389216}, year = 2012 }