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Hateful speech in Online Social Networks (OSNs) is a key challenge for companies and governments, as it impacts users and advertisers, and as several countries have strict legislation against the practice. This has motivated work on detecting and characterizing the phenomenon
in tweets, social media posts and comments. However, these approaches face several shortcomings due to the noisiness of OSN data, the sparsity of the phenomenon, and the subjectivity of the definition of hate speech. This works presents a user-centric view of hate speech, paving the way for better detection methods and understanding. We collect a Twitter dataset of 100, 386 users along with up to 200 tweets from their timelines with a randomwalk-based crawler on the retweet graph, and select a subsample of 4, 972 to be manually annotated as hateful or not through crowdsourcing. We examine the difference between user activity patterns, the content disseminated between hateful and normal users, and network centrality measurements in the sampled graph. Our results show that hateful users have more recent account creation dates, and more statuses, and followees per day. Additionally, they favorite more tweets, tweet in shorter intervals and are more central in the retweet network, contradicting the “lone wolf” stereotype often associated with such behavior. Hateful users are more negative, more profane, and use less words associated with topics such as hate,
terrorism, violence and anger. We also identify similarities between hateful/normal users and their 1-neighborhood, suggesting strong homophily.

Compared to the more spectacular elements of its media repertoire—the slick recruitment campaigns on social media, the artfully composed battlefield footage, the grisly executions—I.S.I.S.’s infographics may seem dull, even trivial. Indeed, these data visualizations have gone largely unremarked, eliciting more bemusement than serious consideration. Against the tendency to discount these images, however, I argue that when I.S.I.S. turns toward charts and diagrams to represent its operations, it launches a stealthy but substantial epistemological challenge to media outlets that depict it as backward and irrational and rely on command of information as an index of Western power. Comparing infographics produced about I.S.I.S. and those produced by the group, I demonstrate that, despite their obvious differences, both types of infographics evince common preoccupations. Like Western news sources, I.S.I.S. creates infographics to map attacks, plot territorial gains, tally and categorize casualties, and track the types of weapons deployed. News media and I.S.I.S. infographics diverge primarily in their affective resonance, as similar information signifies in radically different ways. Ultimately, by producing and circulating these infographics, I.S.I.S. renders simultaneously renders itself more and less intelligible to outsiders: encapsulating its story while confounding prevailing representations as it weaponizes information.

Operations involving the capture, processing, and transmission of terrorist events, campaigns, or images produce effects well beyond the representational/informational functions of media. This article examines several unspoken effects involved in the mediation of terrorism. We analyze the extent to which several mechanisms and operations of western media may be complicit in, if not fundamental to, the global production and administration of terror, particularly at the level of its image and what we call virality. We theorize the ways in which media not only “mediate” terror, but also function to regulate and/or administer it and, in particular, to exacerbate, amplify, and proliferate images and activities of Islamic State in Iraq and Syria (ISIS) across global networks of digital exchange. We argue that key to understanding the strategies and circulating effects of ISIS’s media involvement is the tendency of viral media operations to overproduce, overextend, and oversaturate. The condition of oversaturation denotes a hyperactive global media circuitry that is collapsing under its own weight. This condition reflects a strategic tendency of terror, which underlies all mediatic processing of images deployed by ISIS. It also reveals a vulnerability for terrorist strategy to exacerbate and exhaust the hyperactivity of media, and thus to accelerate the implosive collapse of the globally networked system. We theorize how implicit and unintended effects or outputs of the mediatic processing of terrorist meanings, images, and discourses may work to overstimulate the global system to the point of its reversal, exhaustion, or implosion.

This article compares two universes of official Islamic State media that were compiled 18 months apart. It explores the nuances of the group’s worldview and illustrates the extent to which external and internal situational exigencies impacted the Islamic State’s brand during its formative years as caliphate. It finds that the organization’s media infrastructure was about half as productive in early 2017 as it had been in mid-2015. The data also show that, even though the group had internationalized its theater of terrorist operations during the time period in question, the brand itself actually contracted to become markedly less globalized in 2016. Finally, the data indicate a substantial thematic rearrangement in the organization’s propaganda, one that saw its story shifting away from the millenarian “utopia” towards military denialism. In sum, the data indicate that the Islamic State propagandists were far less productive by January 2017, and that their aggregate product was less international and less utopian but more militant and more defiant, a shift that suggested a new phase in their political marketing operations, one focused on framing the caliphate as an embattled but still defiant pseudo-state struggling to maintain past momentum.

This paper considers American strategies for countering ISIS social media, focusing on notions of narrative and rational debate in the Web 2.0 era. In addition to chronicling an evolution in American governmental ideas about the online public sphere, the paper looks specifically at the work of Al-Tamimi, an open source journalist who verifies and catalogues original ISIS documentation. Using both textual analyses and long-form interviews with Al-Tamimi as evidence, the paper argues that Al-Tamimi’s archival work serves to disrupt emotionally driven, logically questionable narratives about ISIS, whether they emerge from the group itself or its Western opponents.

In this paper we present a multimodal approach to categorizing user posts based on their discussion topic. To integrate heterogeneous information extracted from the posts, i.e. text, visual content and the information about user interactions with the online platform, we deploy graph convolutional networks that were recently proven effective in classification tasks on knowledge graphs. As the case study we use the analysis of violent online political extremism content, a challenging task due to a particularly high semantic level at which extremist ideas are discussed. Here we demonstrate the potential of using neural networks on graphs for classifying multimedia content and, perhaps more importantly, the effectiveness of multimedia analysis techniques in aiding the domain experts performing qualitative data analysis. Our conclusions are supported by extensive experiments on a large collection of extremist posts. This research was produced with the aid of VOX-Pol Research Mobility Programme funding and supervision by VOX-Pol colleagues at Dublin City University.