• Corpus ID: 4749650

Automatic Detection of Online Jihadist Hate Speech

@article{Smedt2018AutomaticDO,
  title={Automatic Detection of Online Jihadist Hate Speech},
  author={Tom De Smedt and Guy De Pauw and Pieter Van Ostaeyen},
  journal={ArXiv},
  year={2018},
  volume={abs/1803.04596}
}
We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning. The system is trained on a corpus of 45,000 subversive Twitter messages collected from October 2014 to December 2016. We present a qualitative and quantitative analysis of the jihadist rhetoric in the corpus, examine the network of Twitter users, outline the technical procedure used to train the system, and discuss… 

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