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Social-media companies make extensive use of artificial intelligence in their efforts to remove and block terrorist content from their platforms. This paper begins by arguing that, since such efforts amount to an attempt to channel human conduct, they should be regarded as a form of regulation that is subject to rule-of-law principles. The paper then discusses three sets of rule-of-law issues. The first set concerns enforceability. Here, the paper highlights the displacement effects that have resulted from the automated removal and blocking of terrorist content and argues that regard must be had to the whole social-media ecology, as well as to jihadist groups other than the so-called Islamic State and other forms of violent extremism. Since rule by law is only a necessary, and not a sufficient, condition for compliance with rule-of-law values, the paper then goes on to examine two further sets of issues: the clarity with which social-media companies define terrorist content and the adequacy of the processes by which a user may appeal against an account suspension or the blocking or removal of content. The paper concludes by identifying a range of research questions that emerge from the discussion and that together form a promising and timely research agenda to which legal scholarship has much to contribute.

‘Islamic State’s Online Activity and Responses’ provides a unique examination of Islamic State’s online activity at the peak of its “golden age” between 2014 and 2017 and evaluates some of the principal responses to this phenomenon. Featuring contributions from experts across a range of disciplines, the volume examines a variety of aspects of IS’s online activity, including their strategic objectives, the content and nature of their magazines and videos, and their online targeting of females and depiction of children. It also details and analyses responses to IS’s online activity – from content moderation and account suspensions to informal counter-messaging and disrupting terrorist financing – and explores the possible impact of technological developments, such as decentralised and peer-to-peer networks, going forward. Platforms discussed include dedicated jihadi forums, major social media sites such as Facebook, Twitter, and YouTube, and newer services, including Twister.

‘Islamic State’s Online Activity and Responses’ is essential reading for researchers, students, policymakers, and all those interested in the contemporary challenges posed by online terrorist propaganda and radicalisation. The chapters were originally published as a special issue of Studies in Conflict & Terrorism.

Images are known to have important effects on human perception and persuasion. Jihadist groups are also known to make strategic use of emotive imagery and symbolism for persuasive ends. Yet until recently studies of the online magazines published by violent jihadist groups largely focused on their textual, not their image, content and, while the image content of these magazines is now the subject of a burgeoning number of studies, few of these compare the images used by different groups. This article accordingly offers a cross-group comparison, examining the image content of a total of thirty-nine issues of five online magazines published by four different jihadist groups. Starting with a content analysis, it shows that the images’ most common focus is non-leader jihadis. Using a news values analysis, it then shows how these images of non-leader jihadis are used to visually construct the identity of a “good Muslim.” This construct is characterized by three traits, each corresponding to a different news value: fulfilled (personalization); active (consonance); and respected (prominence). Moreover, these traits are intertwined: fulfillment comes from responding actively to the call to violent jihad, which in turn promises respect. The article concludes by highlighting some subtle differences between how the news values of personalization, consonance, and prominence are realized in the different magazines, and by discussing the implications of the “good Muslim” construct for efforts to develop countermessages.

Social-media companies make extensive use of artificial intelligence in their efforts to remove and block terrorist content from their platforms. This paper begins by arguing that, since such efforts amount to an attempt to channel human conduct, they should be regarded as a form of regulation that is subject to rule-of-law principles. The paper then discusses three sets of rule-of-law issues. The first set concerns enforceability. Here, the paper highlights the displacement effects that have resulted from the automated removal and blocking of terrorist content and argues that regard must be had to the whole social-media ecology, as well as to jihadist groups other than the so-called Islamic State and other forms of violent extremism. Since rule by law is only a necessary, and not a sufficient, condition for compliance with rule of values, the paper then goes on to examine two further sets of issues: the clarity with which social-media companies define terrorist content and the adequacy of the processes by which a user may appeal against an account suspension or the blocking or removal of content. The paper concludes by identifying a range of research questions that emerge from the discussion and that together form a promising and timely research agenda to which legal scholarship has much to contribute.

This paper focuses on the attempts by Daesh (also known as the Islamic State of Iraq and Syria, ISIS) to use Twitter to disseminate its online magazine, Rumiyah. It examines a data set of 11,520 tweets mentioning Rumiyah that contained an out link, to evaluate the success of Daesh’s attempts to use Twitter as a gateway to issues of its magazine.

Social media and tech companies face the challenge of identifying and removing terrorist and extremist content from their platforms. This paper presents the findings of a series of interviews with Global Internet Forum to Counter Terrorism (GIFCT) partner companies and law enforcement Internet Referral Units (IRUs). It offers a unique view on current practices and challenges regarding content removal, focusing particularly on human-based and automated approaches and the integration of the two.