EXTREMIST TEXT DETECTION IN SOCIAL WEB

P. 344–350.

Chepovskiy A., Smirnov I., Suvorova M., Devyatkin D.

Online or cyber extremism is one of the critical problem for the security of Russia and other countries as social web is
widely used for radical activity and propaganda. This paper considers the problem of extremist text detection in Russian social media. We propose models and methods for identification of extremist text in Russian, which apply deep linguistic parsing and statistical processing of texts. We also present the dataset of terrorist, religious hate, racism and other radical texts  in  Russian  and  results  of  experiments  on  this  dataset.  It  was  shown,  that  low-dimensional  psycholinguistic  and semantic  features  of  texts  allow  detecting  extremist  texts  with  quite  good  performance  while  lexical  features  allow recognizing topics of the detected extremist texts.

Keywords: Cyber Extremism, Topic Identification, Extremist Lexis

In book

Proceedings of the International Conferences on ICT, Society and Human Beings 2019, Connected Smart Cities 2019 and Web Based Communities and Social Media 2019

IADIS Press , 2019.