Modeling socio-cultural phenomena in online multi-party discourse

Tomek Strzalkowski, George Aaron Broadwell, Jennifer Stromer-Galley, Samira Shaikh, Ting Liu, Sarah Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We present in this paper, the application of a novel approach to computational modeling, understanding and detection of social phenomena in online multi-party discourse. A two-tiered approach was developed to detect a collection of social phenomena deployed by participants, such as topic control, task control, disagreement and involvement. We discuss how the mid-level social phenomena can be reliably detected in discourse and these measures can be used to differentiate participants of online discourse. Our approach works across different types of online chat and we show results on two specific data sets.

Original languageEnglish (US)
Title of host publicationAnalyzing Microtext - Papers from the 2011 AAAI Workshop, Technical Report
Pages62-67
Number of pages6
StatePublished - Oct 31 2011
Externally publishedYes
Event2011 AAAI Workshop - San Francisco, CA, United States
Duration: Aug 8 2011Aug 8 2011

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-11-05

Other

Other2011 AAAI Workshop
CountryUnited States
CitySan Francisco, CA
Period8/8/118/8/11

ASJC Scopus subject areas

  • Engineering(all)

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