Proceedings:
Proceedings of the International AAAI Conference on Web and Social Media, 3
Volume
Issue:
Vol. 3 No. 1 (2009): Third International AAAI Conference on Weblogs and Social Media
Track:
Poster Papers
Downloads:
Abstract:
Social media communities (e.g. Wikipedia, Flickr, Live Q&A) give rise to distinct types of content, foremost among which are relational content (discussion, chat) and factual content (answering questions, problem-solving). Both users and researchers are increasingly interested in developing strategies that can rapidly distinguish these types of content. While many text-based and structural strategies are possible, we extend two bodies of research that show how social context, and the social roles of answerers can predict content type. We test our framework on a dataset of manually labeled contributions to Microsoft's Live Q&A and find that it reliably extracts factual and relational messages from the data.
DOI:
10.1609/icwsm.v3i1.13996
ICWSM
Vol. 3 No. 1 (2009): Third International AAAI Conference on Weblogs and Social Media