Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context

Authors

  • Vladimir Barash Cornell University
  • Marc Smith Telligent Systems
  • Lise Getoor University of Maryland - College Park
  • Howard Welser Ohio University

Keywords:

Social Media, Network Analysis, Online Communities

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.

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Published

2009-03-20

How to Cite

Barash, V., Smith, M., Getoor, L., & Welser, H. (2009). Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 183-186. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/13996