Abstract

In this study, we aim to obtain "natural groupings" of 151 local non-government organizations and institutions mentioned in a news archive of 77,000 articles spanning a decade (May 1999 to Jan 2010) from Indonesia. One of our goals is to enhance our understanding of counter-radical movements in critical locations in the Muslim world. We present information extraction techniques to recognize entities, and their beliefs and practices in text as a step towards identifying socially significant scales with explanatory power. Then, we proceed to cluster organizations based on these scales. We present experimental results, and discuss challenges in reasoning with the complex interactions of many simultaneous beliefs, practices and attitudes held by the leaders and followers of various organizations.

Original languageEnglish (US)
Title of host publicationProceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust
Pages335-340
Number of pages6
DOIs
StatePublished - 2010
Event2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010 - Minneapolis, MN, United States
Duration: Aug 20 2010Aug 22 2010

Other

Other2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010
CountryUnited States
CityMinneapolis, MN
Period8/20/108/22/10

Keywords

  • Component
  • Hierarchical clustering
  • Markers
  • Organizations
  • Scales
  • Spectral clustering
  • Web information extraction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Davulcu, H., Ahmed, S. T., Gokalp, S., Temkit, M. H., Taylor, T., Woodward, M., & Amin, A. (2010). Analyzing sentiment markers describing radical and counter-radical elements in online news. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust (pp. 335-340). [5591246] https://doi.org/10.1109/SocialCom.2010.55

Analyzing sentiment markers describing radical and counter-radical elements in online news. / Davulcu, Hasan; Ahmed, Syed Toufeeq; Gokalp, Sedat; Temkit, M'hamed H.; Taylor, Thomas; Woodward, Mark; Amin, Ali.

Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. p. 335-340 5591246.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Davulcu, H, Ahmed, ST, Gokalp, S, Temkit, MH, Taylor, T, Woodward, M & Amin, A 2010, Analyzing sentiment markers describing radical and counter-radical elements in online news. in Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust., 5591246, pp. 335-340, 2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010, Minneapolis, MN, United States, 8/20/10. https://doi.org/10.1109/SocialCom.2010.55
Davulcu H, Ahmed ST, Gokalp S, Temkit MH, Taylor T, Woodward M et al. Analyzing sentiment markers describing radical and counter-radical elements in online news. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. p. 335-340. 5591246 https://doi.org/10.1109/SocialCom.2010.55
Davulcu, Hasan ; Ahmed, Syed Toufeeq ; Gokalp, Sedat ; Temkit, M'hamed H. ; Taylor, Thomas ; Woodward, Mark ; Amin, Ali. / Analyzing sentiment markers describing radical and counter-radical elements in online news. Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. pp. 335-340
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