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Automatic Detection of Online Jihadist Hate Speech
March 13, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Tom De Smedt, Guy De Pauw, Pieter Van Ostaeyen
arXiv ID
1803.04596
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.CR
Citations
58
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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 examples of use.
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