Influence and power in group interactions

Tomek Strzalkowski, Samira Shaikh, Ting Liu, George Aaron Broadwell, Jenny Stromer-Galley, Sarah Taylor, Veena Ravishankar, Umit Boz, Xiaoai Ren

Research output: Chapter in Book/Entry/PoemConference contribution

4 Scopus citations


In this article, we present a novel approach towards the detection and modeling of complex social phenomena in multiparty interactions, including leadership, influence, pursuit of power and group cohesion. We have developed a two-tier approach that relies on observable and computable linguistic features of conversational text to make predictions about sociolinguistic behaviors such as Topic Control and Disagreement, that speakers deploy in order to achieve and maintain certain positions and roles in a group. These sociolinguistic behaviors are then used to infer higher-level social phenomena such as Influence and Pursuit of Power, which is the focus of this paper. We show robust performance results by comparing our automatically computed results to participants' own perceptions and rankings. We use weights learned from correlations with training examples to optimize our models and to show performance significantly above baseline.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Proceedings
Number of pages9
StatePublished - 2013
Externally publishedYes
Event6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013 - Washington, DC, United States
Duration: Apr 2 2013Apr 5 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7812 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013
Country/TerritoryUnited States
CityWashington, DC


  • computational sociolinguistics
  • influence
  • linguistic behavior
  • multi-disciplinary artificial intelligence
  • online dialogues
  • pursuit of power
  • social computing
  • social phenomena

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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