Summary of the paper

Title Revealing Contentious Concepts Across Social Groups
Authors Ching-Sheng Lin, Zumrut Akcam, Samira Shaikh, Sharon Small, Ken Stahl, Tomek Strzalkowski and Nick Webb
Abstract In this paper, a computational model based on concept polarity is proposed to investigate the influence of communications across the diacultural groups. The hypothesis of this work is that there are communities or groups which can be characterized by a network of concepts and the corresponding valuations of those concepts that are agreed upon by the members of the community. We apply an existing research tool, ECO, to generate text representative of each community and create community specific Valuation Concept Networks (VCN). We then compare VCNs across the communities, to attempt to find contentious concepts, which could subsequently be the focus of further exploration as points of contention between the two communities. A prototype, CPAM (Changing Positions, Altering Minds), was implemented as a proof of concept for this approach. The experiment was conducted using blog data from pro-Palestinian and pro-Israeli communities. A potential application of this method and future work are discussed as well.
Topics Corpus (creation, annotation, etc.), Discourse annotation, representation and processing, Information Extraction, Information Retrieval
Full paper Revealing Contentious Concepts Across Social Groups
Bibtex @InProceedings{LIN12.403,
  author = {Ching-Sheng Lin and Zumrut Akcam and Samira Shaikh and Sharon Small and Ken Stahl and Tomek Strzalkowski and Nick Webb},
  title = {Revealing Contentious Concepts Across Social Groups},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
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