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The Global Internet Forum to Counter Terrorism (GIFCT) commissioned BSR to conduct a human rights assessment of its strategy, governance, and activities. The purpose of this assessment is to identify actual and potential human rights impacts (including both risks and opportunities) arising from GIFCT’s work and make recommendations for how GIFCT and its participants can address these impacts. BSR undertook this human rights review from December 2020 to May 2021. This assessment combines human rights assessment methodology based on the UN Guiding Principles on Business and Human Rights (UNGPs) with consideration of the human rights principles, standards, and methodologies upon which the UNGPs were built. This review was funded by GIFCT, though BSR retained editorial control over its contents.

The recent rise of the political extremism in Western countries has spurred renewed interest in the psychological and moral appeal of political extremism. Empirical support for the psychological explanation using surveys has been limited by lack of access to extremist groups, while field studies have missed psychological measures and failed to compare extremists with contrast groups. We revisit the debate over the psychological and moral appeal of extremism in the U.S. context by analyzing Twitter data of 10,000 political extremists and comparing their text-based psychological constructs with those of 5000 liberal and 5000 conservative users. The results reveal that extremists show a lower positive emotion and a higher negative emotion than partisan users, but their differences in certainty is not significant. In addition, while left-wing extremists express more language indicative of anxiety than liberals, right-wing extremists express lower anxiety than conservatives. Moreover, our results mostly lend support to Moral Foundations Theory for partisan users and extend it to the political extremists. With the exception of ingroup loyalty, we found evidences supporting the Moral Foundations Theory among left- and right-wing extremists. However, we found no evidence for elevated moral foundations among political extremists.

This article presents an empirical analysis of the Australian media representation of terrorism using the 2014 Sydney Lindt Café siege as a case in point to engage with the notion of moral panic. Deploying critical discourse analysis and case study as mixed methods, insights into trans-media narratives and aftermath of the terrifying siege are presented. While news media appeared to collaborate with the Australian right-wing government in the reporting of terrorism, social media posed challenges and raised security concerns for the state. Social media heightened the drama as sites were variously deployed by the perpetrator, activists and concerned members of the public. The amplified trans-media association of Muslims with terrorism in Australia and its national and global impact, in terms of the political exclusion of Muslims, are best described in this article in the form of an Islamophobic Moral Panic Model, invented for a rethink of the various stages of its occurrence, intensification and institutionalization.

I am interested in contributing further knowledge regarding the alt-right, white supremacy, and the Internet by exploring the sinister conducting of Zoom-bombing anti-racist events. Here, I will investigate how white supremacy through the Internet can lead to violence, abuse, and fear that “transcends the virtual world to damage real, live humans beings” via Zoom-bombing, an act that is situated in a larger co-option of the Internet by the alt-right and white supremacists, but has been under theorised as a hate crime.

The key aims of this report are: To show how Jihadist movements use web forums to consolidate their existing followers and to recruit new ones; to illustrate how Jihadists, and their online supporters, use theology and ideology to justify their violent actions; and to suggest how western governments can better challenge the worldview and ideology propagated on these forums

Purpose
With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.
Design/methodology/approach
This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.
Findings
Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.
Originality/value
At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.