This paper addresses several of the key issues facing creation of a classifier for hate-speech on forums, blogs, or other areas of web discourse.
This article presents methods for identifying the recruitment activities of violent groups within extremist social media websites.
This article deals with a supervised machine learning text classifier, trained and tested to distinguish between hateful and/or antagonistic response with a focus on race, ethnicity or religion; and more general responses.
This paper concerns the creation of a prototype for sentiment analysis, capable of discerning key aspects of an entity under review, and the type of polarity in the response associated with it.
In this paper, the authors argue that despite the widespread use of social media in various domains (e.g.
This article discusses how political Islam uses digital visual narratives to create collective identities, enable the radicalisation and recruitment of new members and gather support for political causes.
This background note pertains to how far right extremist groups have coopted methods from the ‘cyber caliphate’ and jihadist Internet use to develop their own support networks.
This study deals with the use of YouTube by five right-wing extremist actors in Sweden to spread socio-political propaganda and revised historical narratives.
This article discusses the use of social media propaganda by Patani militants in Thailand and the sharply opposing outcomes it often produces.
This portal gathers an annotated collection of recent research on the ways in which social media and new technologies may be leveraged in the fight against violent extremism