acl acl2013 acl2013-287 acl2013-287-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Arjun Mukherjee ; Vivek Venkataraman ; Bing Liu ; Sharon Meraz
Abstract: Social media platforms have enabled people to freely express their views and discuss issues of interest with others. While it is important to discover the topics in discussions, it is equally useful to mine the nature of such discussions or debates and the behavior of the participants. There are many questions that can be asked. One key question is whether the participants give reasoned arguments with justifiable claims via constructive debates or exhibit dogmatism and egotistic clashes of ideologies. The central idea of this question is tolerance, which is a key concept in the field of communications. In this work, we perform a computational study of tolerance in the context of online discussions. We aim to identify tolerant vs. intolerant participants and investigate how disagreement affects tolerance in discussions in a quantitative framework. To the best of our knowledge, this is the first such study. Our experiments using real-life discussions demonstrate the effective- ness of the proposed technique and also provide some key insights into the psycholinguistic phenomenon of tolerance in online discussions.
Abu-Jbara, A., Dasigi, P., Diab, M. and Dragomir Radev. 2012. Subgroup detection in ideological discussions. ACL. Agrawal, R. Rajagopalan, S. Srikant, R. Xu. Y. 2003. Mining newsgroups using networks arising from social behavior. WWW. Bansal, M., Cardie, C., and Lee, L. 2008. The power of negative thinking: Exploiting label disagreement in the min-cut classification framework. In COLING. Blei, D., A. Ng, and M. Jordan. 2003. Latent Dirichlet Allocation. In JMLR. Boyer, K.; Grafsgaard, J.; Ha, E. Y.; Phillips, R.; and Lester, J. 2011. An affect-enriched dialogue act classification model for task-oriented dialogue. In ACL. Burfoot, C., S. Bird, and T. Baldwin. 201 1. Collective Classification of Congressional Floor-Debate Transcripts. In ACL. Cappella, J. N., Price, V., and Nir, L. 2002. Argument repertoire as a reliable and valid measure of opinion quality: electronic dialogue during campaign 2000. Political Communication. Political Communication. Chen, Z., Mukherjee, A., Liu, B., Hsu, M., Castellanos, M., Ghosh, R. 2013. Leveraging Multi-Domain Prior Knowledge in Topic Models. In IJCAI. Chung, C. K., and Pennebaker, J. W. 2007. Revealing people’s thinking in natural language: Using an automated meaning extraction method in open– ended self–descriptions,. J. of Research in Personality. Choi, Y. and Cardie, C. 2010. Hierarchical sequential learning for extracting opinions and their attributes. In ACL. Critchley, M. 1964. The neurology of psychotic speech. The British Journal of Psychiatry. Crocker, D. A. 2005. Tolerance and Deliberative Democracy. UMD Technical Report. Dahlgren, P. 2002. In search of the talkative public: Media, deliberative democracy and civic culture. Javnost/The Public. Dahlgren, Peter. 2005. The Internet, Public Spheres, and Political Communication: Dispersion and Deliberation. Political Communication. Escobar, O. 2012. Public Dialogue and Deliberation: A communication perspective for publicengagement practitioners. Handbook and Technical Report. Fayyad, U., and Irani, K. 1993. Multi-interval discretization of continuous-valued attributes for classification learning. In UAI. Fishkin, J. 1991 . Democracy and deliberation. New Haven, CT: Yale University Press. Flor, M., and Hadar, U. 2005. The production of metaphoric expressions in spontaneous speech: A controlled-setting experiment. Metaphor and Symbol. Galley, M., K. McKeown, J. Hirschberg, E. Shriberg. 2004. Identifying agreement and disagreement in conversational speech: Use of Bayesian networks to model pragmatic dependencies. In ACL. Gastil, J. 2005. Communication as Deliberation: A Non-Deliberative Polemic on Communication Theory. Univ. of Washington, Technical Report. Gastil, J., and Dillard, J. P. 1999. Increasing political sophistication through public deliberation. Political Communication. Gastil, John. 2007. Political communication and deliberation. Sage Publications. Griffiths, T. and Steyvers, M. 2004. Finding scientific topics. In PNAS. Gutmann, A., and Thompson, D. F. 1996. Democracy and disagreement. Harvard University Press. Habermas. 1984. The theory of communicative action: Reason and rationalization of society. (T. McCarthy, Trans. Vol. 1). Boston, MA: Beacon Press. Hillard, D., Ostendorf, M., and Shriberg, E. 2003. Detection of Agreement vs. Disagreement in Meetings: Training with Unlabeled Data. HLTNAACL. Hansen, G. J., and Hyunjung, K. 2011. Is the media biased against me? A meta-analysis of the hostile media effect research. Communication Research Reports, 28, 169-1 79. Hassan, A. and Radev, D. 2010. Identifying text polarity using random walks.In ACL. Hofmann, T. 1999. Probabilistic latent semantic analysis. In UAI. Hu, M. and Liu, B. 2004. Mining and summarizing customer reviews. In SIGKDD. Joachims, T. Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999. Kim, S. and Hovy, E. 2007. Crystal: Analyzing predictive opinions on the web. In EMNLP-CoNLL. Landis, J. R. and Koch, G. G. 1977. The measurement of observer agreement for categorical data. Biometrics, 159–174. Lin, W. H., and Hauptmann, A. 2006. Are these documents written from different perspectives?: a test of different perspectives based on statistical distribution divergence. In ACL. Liu, B. 2012. Sentiment Analysis and Opinion Mining. Morgan & Claypool Publisher, USA. Luskin, R. C., Fishkin, J. S., and Iyengar, S. 2004. Considered Opinions on U.S. Foreign Policy: Faceto-Face versus Online Deliberative Polling. International Communication Association, New Orleans, LA. Mayfield, E. and Rose, C. P. 201 1. Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model. In ACL. Moxey, L. M., and Sanford, A. J. 2000. Communicating quantities: A review of psycholinguistic evidence of how expressions determine perspectives. Applied Cognitive Psychology. Morbini, F. and Sagae, K. 201 1. Joint Identification and Segmentation of Domain-Specific Dialogue Acts for Conversational Dialogue Systems. In ACL. 1689 Murakami, A., and Raymond, R. 2010. Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions. In COLING. Mukherjee, A. and Liu, B. 2013. Discovering User Interactions in Ideological Discussions. In ACL. Mukherjee, A. and Liu, B. 2012a. Mining Contentions from Discussions and Debates. In KDD. Mukherjee, A. and Liu, B. 2012b. Modeling review Comments. In ACL. Mukherjee, A. and Liu, B. 2012c. Aspect Extraction through Semi-Supervised Modeling. In ACL. Mukherjee, A. and Liu, B. 2012d. Analysis of Linguistic Style Accommodation in Online Debates. In COLING. Mutz, D. 2006. Hearing the Other Side: Deliberative Versus Participatory Democracy. Cambridge: Cambridge University Press, 2006. Pang, B. and Lee, L. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval. Pennebaker, J. W., Chung, C. K., Ireland, M., Gonzales, A., and Booth, R. J. 2007. The development and psychometric properties of LIWC2007. LIWC.Net. Popescu, A. and Etzioni, O. 2005. Extracting product features and opinions from reviews. In EMNLP. Price, V., Cappella, J. N., and Nir, L. 2002. Does disagreement contribute to more deliberative opinion? Political Communication. Rokeach, M., and Fruchter, B. 1956. A factorial study of dogmatism and related concepts. The Journal of Abnormal and Social Psychology. Ryfe, D. M. (2005). Does deliberative democracy work? Annual review of political science. Slavin, M. O., and Kriegman, D. 1992. The adaptive design of the human psyche: Psychoanalysis, evolutionary biology, and the therapeutic process. Guilford Press. Somasundaran, S., J. Wiebe. 2009. Recognizing stances in online debates. In ACL-IJCNLP. Stromer-Galley, J. 2005. Conceptualizing and Measuring Coherence in Online Chat. Annual Meeting of the International Communication Association. Sunstein, C. R. 2002. The law of group polarization. Journal of political philosophy. Thomas, M., B. Pang and L. Lee. 2006. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In EMNLP. Wang, L., Lui, M., Kim, S. N., Nivre, J., and Baldwin, T. 2011. Predicting thread discourse structure over technical web forums. In EMNLP. Wiebe, J. 2000. Learning subjective adjectives from corpora. In Proc. of National Conference on AI. Yessenalina, A., Yue, A., Cardie, C. 2010. Multilevel structured models for document-level sentiment classification. In EMNLP. Zhao, X., J. Jiang, H. Yan, and X. Li. 2010. Jointly modeling aspects and opinions with a MaxEntLDA hybrid. In EMNLP. Zingo, M. T. (1998). Sex/gender Outsiders, Hate Speech, and Freedom of Expression: Can They Say that about Me? Praeger Publishers. 1690