The Role of the Internet in Radicalisation to Violent Extremism
September 18, 2023
This chapter critically examines the role that the Internet and the Internet of Things (IoT) play in violent extremism. The chapter specifically focuses on arguments surrounding radicalisation as a pathway to terrorism and how individuals become radicalised due to different radicalisation processes and theories. Based on this critical analysis, the chapter argues that the Internet ...
A semi-supervised algorithm for detecting extremism propaganda diffusion on social media
September 18, 2023
Extremist online networks reportedly tend to use Twitter and other Social Networking Sites (SNS) in order to issue propaganda and recruitment statements. Traditional machine learning models may encounter problems when used in such a context, due to the peculiarities of microblogging sites and the manner in which these networks interact (both between themselves and with ...
Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools
September 18, 2023
Social media platforms are popular for expressing personal views, emotions and beliefs. Social media platforms are influential for propagating extremist ideologies for group-building, fund-raising, and recruitment. To monitor and control the outreach of extremists on social media, detection of extremism in social media is necessary. The existing extremism detection literature on social media is limited ...
Detecting Weak and Strong Islamophobic Hate Speech on Social Media
September 18, 2023
Islamophobic hate speech on social media is a growing concern in contemporary Western politics and society. It can inflict considerable harm on any victims who are targeted, create a sense of fear and exclusion amongst their communities, toxify public discourse and motivate other forms of extremist and hateful behavior. Accordingly, there is a pressing need ...
Exploring Radical Right-Wing Posting Behaviors Online
September 18, 2023
In recent years, researchers have shown a vested interest in developing advanced information technologies, machine-learning algorithms, and risk-assessment tools to detect and analyze radical content online, with increased attention on identifying violent extremists or measuring digital pathways of violent radicalization. Yet overlooked in this evolving space has been a systematic examination of what constitutes radical ...
“You Know What to Do”: Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks
September 18, 2023
Video sharing platforms like YouTube are increasingly targeted by aggression and hate attacks. Prior work has shown how these attacks often take place as a result of “raids,” i.e., organized efforts by ad-hoc mobs coordinating from third-party communities. Despite the increasing relevance of this phenomenon, however, online services often lack effective countermeasures to mitigate it. ...
An Approach for Radicalization Detection Based on Emotion Signals and Semantic Similarity
September 18, 2023
The Internet has become an important tool for modern terrorist groups as a means of spreading their propaganda messages and recruitment purposes. Previous studies have shown that the analysis of social signs can help in the analysis, detection, and prediction of radical users. In this work, we focus on the analysis of affect signs in ...
Understanding The Expression Of Grievances In The Arabic Twitter-sphere Using Machine Learning
September 18, 2023
The purpose of this paper is to discuss the design, application and findings of a case study in which the application of a machine learning algorithm is utilised to identify the grievances in Twitter in an Arabian context. To understand the characteristics of the Twitter users who expressed the identified grievances, data mining techniques and ...