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The unprecedented, rapid development of new communication and information technologies, such as the Internet and social media, has enabled wider dissemination of racist and xenophobic content that incites racial hatred and violence. In response, States, international and regional organizations, civil society and the private sector have undertaken a variety of legal and policy initiatives. In the present report, the Special Rapporteur examines the context, key trends and the manifestations of racism on the Internet and social media, and provides an overview of the legal and policy frameworks and the measures taken at international, regional and national levels, as well as some of the regulatory norms adopted by Internet and social network providers. He presents examples of measures taken to respond to the use of the Internet and social media to propagate racism, hatred, xenophobia and related intolerance, while highlighting the overall positive contribution of the Internet and social media as an effective tool for combating racism, discrimination, xenophobia and related intolerance.

By facilitating the flow of information in society, communications technology (CT; e.g., newspapers, radio, television, the Internet) can help terrorists to (i) spread their message, (ii) recruit followers, and (iii) coordinate among group members. However, CT also facilitates monitoring and arresting terrorists. This article formulates the hypothesis that a society’s level of CT is systematically related to terrorism. We introduce a simple theoretical framework, suggesting that terrorism first becomes more attractive with a rise in CT, but then decreases, following an inverted U shape. Accessing data for 199 countries from 1970 to 2014, we find evidence consistent with these predictions: terrorism peaks at intermediate ranges of CT and corresponding magnitudes are sizable. Our estimations control for a range of potentially confounding factors, as well as country fixed effects and year fixed effects. Results are robust to a battery of alternative specifications and placebo regressions. We find no evidence of a potential reporting bias explaining our findings.

This special responsive issue on “Platform Surveillance” critically assesses the surveillance dimensions and politics of large-scale digital platforms. The issue includes an editorial introduction to the topic and its implications, dozens of articles on specific platforms or platform trends, three book reviews of Shoshana Zuboff’s The Age of Surveillance Capitalism, and an interview with Zuboff about her work.

This paper aims to contribute to understanding how the last flagship magazine of the Islamic State – “Rumiyah” – attempted to influence and manipulate Internet users. Its primary objective is to analyze the propaganda methods exploited in all thirteen issues of this magazine. In order to do so this paper utilises content analysis to investigate “propaganda devices”, a concept developed by the American Institute for Propaganda Analysis. It argues that there were four predominant groups of propaganda devices exploited in this magazine. Two of them, i.e. name-calling and glittering generalities, were utilized to create and promote an artificial, black-and-white vision of the world, composed of the “camp of kufr” (camp of disbelief) and the “camp of iman” (camp of faith), embodied by the Islamic State. The third leading propaganda method, transfer, attempted to legitimize the actions and agenda of the “Caliphate” by using the authority of not only Allah, but also the Prophet Muhammad, his companions (Sahabah), as well as selectively chosen Islamic scholars. Finally, the bandwagon served as a means of creating a sense of community between the editors and readers. Other propaganda devices, such as testimonial or plain folks, played strictly secondary roles in the narration of the magazine.

A new revolution has begun in counterterrorism—the Artificial Intelligence (AI) revolution. The AI revolution has had a significant impact on many areas of security and intelligence. The use of AI and big data in general, and in the field of intelligence and counterterrorism in particular, has led to intense debates between supporters of the continuation and expansion of the use of this technology and those who oppose it. The traditional delicate balance between effectiveness in the fight against terrorism and the liberal democratic values of society becomes even more crucial when counterterrorism engages in AI and big data technology

Internet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper, we detect and measure the propagation of memes across multiple Web communities, using a processing pipeline based on perceptual hashing and clustering techniques, and a dataset of 160M images from 2.6B posts gathered from Twitter, Reddit, 4chan’s Politically Incorrect board (/pol/), and Gab, over the course of 13 months. We group the images posted on fringe Web communities (/pol/, Gab, and The_Donald subreddit) into clusters, annotate them using meme metadata obtained from Know Your Meme, and also map images from mainstream communities (Twitter and Reddit) to the clusters. Our analysis provides an assessment of the popularity and diversity of memes in the context of each community, showing, e.g., that racist memes are extremely common in fringe Web communities. We also find a substantial number of politics-related memes on both mainstream and fringe Web communities, supporting media reports that memes might be used to enhance or harm politicians. Finally, we use Hawkes processes to model the interplay between Web communities and quantify their reciprocal influence, finding that /pol/ substantially influences the meme ecosystem with the number of memes it produces, while td has a higher success rate in pushing them to other communities.