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Automatic Classification and Linguistic Analysis of Extremist Online Material

  • Juan Soler-CompanyEmail author
  • Leo Wanner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11296)

Abstract

The growth of the Internet in the last decade has created great opportunities for sharing content and opinions at a global scale. While this may look like a completely positive feature, it also facilitates the dissemination of discriminative material, propaganda calling for violence, etc. We present a system for recognition, classification and inspection of this kind of material in terms of different characteristics and identification of its authors. The system is illustrated using different sources – including Jihadist magazines and White Supremacist forum posts. We show experiments on the detection of offensive content, on its classification and provide a visualization and enrichment of extremist data.

Keywords

Extremist material Abusive content Hate speech Classification 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.TALN GroupPompeu Fabra UniversityBarcelonaSpain
  2. 2.ICREABarcelonaSpain

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