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Abstract

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.

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References

  1. Allen, J., Core, M.: Draft of DAMSL: Dialog Act Markup in Several Layers (1997), http://www.cs.rochester.edu/research/cisd/resources/damsl/

  2. Bracewell, D.B., Tomlinson, M., Wang, H.: A Motif Approach for Identifying Pursuit of Power in Social Discourse. In: Proceedings of the 6th IEEE International Conference on Semantic Computing (ICSC 2012) (2012)

    Google Scholar 

  3. Broadwell, G., Stromer-Galley, J., Strzalkowski, T., Shaikh, S., Taylor, S., Liu, T., Boz, U., Elia, A., Jiao, L., Webb, N.: Modeling SocioCultural Phenomena in Discourse. Journal of Natural Language Engineering (2012)

    Google Scholar 

  4. Bradford, L.P.: Group development. University Associates, La Jolla (1978)

    Google Scholar 

  5. Ellis, D.G., Fisher, B.A.: Small group decision making: Communication and the group process. McGraw-Hill, New York (1994)

    Google Scholar 

  6. Freedman, M., Baron, A., Punyakanok, V., Weischedel, R.: Language Use: What it can tell us? In: Proceedings of the Association of Computational Linguistics, Portland, Oregon (2011)

    Google Scholar 

  7. French, J.R.P., Raven, B.: The Bases of Social Power. In: Cartwright, D. (ed.) Institute for social research. Studies in Social Power, vol. 35, ch. 9, pp. 150–167 (1959)

    Google Scholar 

  8. Givon, T.: Topic continuity in discourse: A quantitative cross-language study. John Benjamins, Amsterdam (1983)

    Google Scholar 

  9. Jurafsky, D., Shriberg, E., Biasca, D.: Switchboard SWBD-DAMSL Shallow-Discourse-Function Annotation Coders Manual (1997), http://stripe.colorado.edu/~jurafsky/manual.august1.html

  10. Liu, T., Shaikh, S., Strzalkowski, T., Broadwell, A., Stromer-Galley, J., Taylor, S., Boz, U., Ren, X., Jingsi, W.: Extending the MPC corpus to Chinese and Urdu-Multi-party Multi-lingual Chat Corpus for Modeling Social Phenomena in Language. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012) (2012)

    Google Scholar 

  11. McClelland, D.C.: Human motivation, vol. 23. Cambridge University Press (1987)

    Google Scholar 

  12. Miller, G.A., Beckwith, R., Fellbaum, C.D., Gross, D., Miller, K.: WordNet: Anonline lexical database. Int. J. Lexicograph. 3(4), 235–244 (1990)

    Article  Google Scholar 

  13. Sanders, R.E., Pomerantz, A., Stromer-Galley, J.: Some ways of taking issue with another participant during a group deliberation. Paper Presented at the Annual Meeting of the National Communication Association, San Francisco, CA (2010)

    Google Scholar 

  14. Shaikh, S., Strzalkowski, T., Taylor, S., Webb, N.: MPC: A Multi-Party Chat Corpus for Modeling Social Phenomena in Discourse. In: Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Valletta, Malta (2010)

    Google Scholar 

  15. Strzalkowski, T., Broadwell, G.A., Stromer-Galley, J., Shaikh, S., Taylor, S., Webb, N.: Modeling socio-cultural phenomena in discourse. In: Proceedings of the 23rd International Conference on Computational Linguistics, Beijing, China (2010)

    Google Scholar 

  16. Strzalkowski, T., Shaikh, S., Liu, T., Broadwell, G.A., Stromer-Galley, J., Taylor, S., Ravishankar, V., Boz, U., Ren, X.: Modeling Leadership and Influence in Multi–party Online Discourse. In: Proceedings of the 24th International Conference on Computational Linguistics, Mumbia, India (2012)

    Google Scholar 

  17. Toutanova, K., Klein, D., Manning, C., Singer, Y.: Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In: Proceedings of HLT-NAACL 2003, pp. 252–259 (2003)

    Google Scholar 

  18. Webb, N., Ferguson, M.: Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act Classification. In: The proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010), Beijing, China (2010)

    Google Scholar 

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Strzalkowski, T. et al. (2013). Influence and Power in Group Interactions. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_3

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  • DOI: https://doi.org/10.1007/978-3-642-37210-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37209-4

  • Online ISBN: 978-3-642-37210-0

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