TY - GEN
T1 - Modeling socio-cultural phenomena in online multi-party discourse
AU - Strzalkowski, Tomek
AU - Broadwell, George Aaron
AU - Stromer-Galley, Jennifer
AU - Shaikh, Samira
AU - Liu, Ting
AU - Taylor, Sarah
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=80054935064&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80054935064
SN - 9781577355212
T3 - AAAI Workshop - Technical Report
SP - 62
EP - 67
BT - Analyzing Microtext - Papers from the 2011 AAAI Workshop, Technical Report
T2 - 2011 AAAI Workshop
Y2 - 8 August 2011 through 8 August 2011
ER -