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Searching for Extremist Content Online Using the Dark Crawler and Sentiment Analysis

Methods of Criminology and Criminal Justice Research

ISBN: 978-1-78769-866-6, eISBN: 978-1-78769-865-9

ISSN: 1521-6136

Publication date: 26 August 2019

Abstract

Originality/value – This chapter provides researchers and practitioners who are faced with new challenges in detecting extremist content online with insights regarding the applicability of a specific set of machine learning techniques and research methods to conduct large-scale data analyses in the field of terrorism and extremism studies.

Keywords

Citation

Scrivens, R., Gaudette, T., Davies, G. and Frank, R. (2019), "Searching for Extremist Content Online Using the Dark Crawler and Sentiment Analysis", Deflem, M. and Silva, D.M.D. (Ed.) Methods of Criminology and Criminal Justice Research (Sociology of Crime, Law and Deviance, Vol. 24), Emerald Publishing Limited, Bingley, pp. 179-194. https://doi.org/10.1108/S1521-613620190000024016

Publisher

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Emerald Publishing Limited

Copyright © 2019 Emerald Publishing Limited