This resource is an informative, visual and descriptive infographic by Fifth Tribe focused in ISIS’s use of Twitter. The infographic and descriptions in the article were written following the Paris attacks in November 2015.
This resource contains the description and data analysis from a research project conducted by Fifth Tribe into ISIS’s use of Twitter in the aftermath of the 2015 Paris Attacks.
This 2014 article focuses on sentiment analysis and proposes a new model for analyzing user sentiments and opinions online.
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 focuses on challenges to law enforcement when dealing with massive amounts of data in criminal investigations.
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.
This paper explores the use of crawling global social networking platforms to undercover previously unknown radicalized individuals. To prove the utility of this process the authors collect a YouTube dataset from a group that potentially has a radicalizing agenda.
This 2012 paper presents a model that was built using sentiment analysis scores from analyzing selected web forums that included radical content. The study looked at two Arabic language web forums and extracted a sample of 500 sentences from each, which were then manually translated.
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.
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