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Automatic Detection of Cyber-Recruitment by Violen ...

August 2014

This article presents methods for identifying the recruitment activities of violent groups within extremist social media websites.

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Hate Speech, Machine Classification and Statistica ...

2014

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.

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Geolocation Prediction in Social Media Data by Fin ...

2012

This article addresses the degree to which geolocation prediction is vital to geospatial applications like localised search and local event detection.

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Semantic Lexicon Expansion for Concept-Based Aspec ...

2014

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.

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SUPER: Towards the Use of Social Sensors for Secur ...

May 2015

In this paper, the authors argue that despite the widespread use of social media in various domains (e.g.

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Towards Detecting Rumours in Social Media

April 2015

This paper describes the methodology that the authors have developed for the collection and sampling of conversational threads, as well as the tools they have developed to identify rumour-based threads.

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A Graph Based Clustering Scheme for Identifying Re ...

January 2010

This paper focuses on social network analysis (SNA) for the purposes of community detection using a hybrid graph-based tag clustering scheme (HGC). The authors present a novel scheme for graph-based clustering with the goal of identifying groups of related tags in folksonomies.

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Mining Communities and Their Relationships in Blog ...

October 2006

This article outlines a semi-automated approach for analyzing the content and structure of online hate groups active on blogging platforms.

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Twitterrank: Finding Topic-Sensitive Influential T ...

2010

This article focuses on the problem of identifying influential Twitter users using Machine Learning (ML) techniques and Natural Language Processing (NLP).

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Detecting Linguistic Markers for Radical Violence ...

December 2013

This article focuses on the use of linguistic “weak signals”—digital traces of intent—in social media as a tool of counterterrorism aimed at preventing lone-wolf attacks.

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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

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