Online Library

On October 7, 2023, during the Jewish Sabbath and festival of Simchat Torah, Hamas shocked the world by invading Israel from Gaza across multiple entry points. The results were devastating: the single largest one-day total of murdered Jews since the Nazi Holocaust. Hamas targeted civilian families, assaulted and kidnapped hundreds of other civilians who were taken hostage in Gaza. Evidence suggests that Hamas was preparing for a ‘second phase’ of assaults, targeting the people of Israel. In response to this unprecedented massacre of 1,200 Israelis and the kidnapping of others, Israeli forces invaded Gaza with the stated goal of destroying Hamas.

In the online sphere, the vicious attacks set off a wave of posts, images, memes, cyber terror attacks, and videos on social media, but also on the dark web and adjacent sites. The Simon Wiesenthal Center’s (SWC) Digital Terrorism and Hate Project monitors the social media activities of over 7,000 groups, individuals, and online channels, many who support Hamas and other terrorist groups. This report will explore the explosion of cyberterrorist activity against Jewish and Israeli targets in the wake of October 7th and expose some of the key groups and actors that have caused significant disruption and threats to personal safety.

Drawing from ethnographic and documentary data, this article examines the character of the social spaces that white power movement (WPM) activists create on the Internet and the linkages to their real world activism. Specifically, we explain how white power activists use cyberspace as a free space to create and sustain movement culture and coordinate collective action. The WPM’s cyberpresence intersects with and enhances their real world activities by offering multiple opportunities for access and coordination. Virtual contact with the WPM community offers members social support, companionship, and a sense of belonging to a community of Aryan believers. We argue that real and virtual spaces are not completely separate spheres but rather closely inter-twined. Consequently, virtual spaces provide an opportunity to parallel and extend the type of interaction present in real world free spaces that are so critical to nurturing and sustaining white power movement culture. Cyberspace is being used to connect all sorts of people, yet the character of those connections is unclear. Some observers argue that cyberspace is a new place of assembly where real world social communities can be established, sustained, or renewed as virtual communities. In The Virtual Community (1993), Howard Rheingold argues the Intemet introduced a new form of community that can help bring people together on-line around shared values and interests, and create ties of support that extend their real world collective interaction. Sherry Turkle (1995:267), a pioneer in studies of identity and interaction on the Intemet, claims that the virtual realm offers “a dramatic Please direct correspondence to Pete Simi,. We want to thank editors Dobratz and Waldner and the anonymous JPMS reviewers for their helpful suggestions on earlier drafts of this article.

Identifying and profiling threat actors are high priority tasks for a number of governmental organizations. These threat actors may operate actively, using the Internet to promote propaganda, recruit new members, or exert command and control over their networks. Alternatively, threat actors may operate passively, demonstrating operational security awareness online while using their Internet presence to gather information they need to pose an offline physical threat. This paper presents a flexible new prototype system that allows analysts to automatically detect, monitor and characterize threat actors and their networks using publicly available information. The proposed prototype system fills a need in the intelligence community for a capability to automate manual construction and analysis of online threat networks. Leveraging graph sampling approaches, we perform targeted data collection of extremist social media accounts and their networks. We design and incorporate new algorithms for role classification and radicalization detection using insights from social science literature of extremism. Additionally, we develop and implement analytics to facilitate monitoring the dynamic social networks over time. The prototype also incorporates several novel machine learning algorithms for threat actor discovery and characterization, such as classification of user posts into discourse categories, user post summaries and gender prediction.

The concept of creating counter-narratives in order to push back against extremist recruitment and propaganda has become well established in recent years. In practice, however, it has proven difficult to curate this content in a systematic way, target it toward at risk audiences, and – most importantly – measure constructive impact on their behaviour. Over the past few years, the Institute for Strategic Dialogue (ISD) has developed research and pilot studies conducted with the Against Violent Extremism (AVE) network of former extremists and survivors of extremism that it manages. This research has been conducted in order to test and improve methodologies that help optimise the impact of counternarrative campaigns. This report outlines the key findings and results of three counter-narrative campaign pilot projects curated through the AVE network in coordination with Jigsaw and with additional in-kind assistance or financial support from Facebook and Twitter. Although some details and figures have been omitted for security purposes, the results of the study are presented in full.

Certain studies of social conflicts and geopolitical processes through online social networks entail qualitative analysis. One such issue is the tension between Western and Muslim societies. We introduce computer-assisted qualitative sentiment analysis for the inquiry and extraction of varied sentiments. The analysis explores the prevalent meanings of the term jihad through discussions of Muslims and non-Muslims in the online public sphere. After examining 4,630 Facebook comments and replies, our examination leads to a holistic mapping that details “peaceful,” “moderate,” and “radical” opinions regarding jihad, which is an integral institution of the Muslim world. Through this method, we suggest a “Muslim–non-Muslim tension indicator,” which can be used in a range of political analyses.

Social media systems allow Internet users a congenial platform to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges. Online hate speech is an archetypal example of such challenges. Despite its magnitude and scale, there is a significant gap in understanding the nature of hate speech on social media. In this paper, we provide the first of a kind systematic large scale measurement study of the main targets of hate speech in online social media. To do that, we gather traces from two social media systems: Whisper and Twitter. We then develop and validate a methodology to identify hate speech on both these systems. Our results identify online hate speech forms and offer a broader understanding of the phenomenon, providing directions for prevention and detection approaches.