Online Library

An empirical study by the Israel Internet Association analyzes the manner and quality of response by various social media platforms to 447 verified and confirmed reports of harmful content. These reports were submitted to the platforms by the Association’s Internet Safety Hotline, recognized by most platforms as an official Trusted Flagger, after meticulously confirming that all content reported explicitly violated the relevant platforms’ content policies.  The study considers all reports verified and sent to the platforms by the Hotline team between October 7 and December 7, 2023 (the first two months of the Israel-Hamas war) through official channels, the response received from the platforms to these reports, and actions taken or not taken by the platforms in response to the reported content. Parameters evaluated include: response time, the nature and quality of response as a function of content type, and whether the platforms’ actions matched their public commitments to addressing online threats in the wake of the Hamas attacks.

The findings are troubling, and show that response times were exceedingly slow, with little to no action on weekends. Handling of content requiring manual review or contextual understanding was notably poor, revealing significant differences between content types and across different platforms. We show that the same platforms have succeeded in similar situations in other countries, suggesting that success is possible when appropriate resources are channeled into achieving it. We present detailed recommendations as to how to remedy the present situation, and emphasize that responsibility lies not only with the platforms but also with governments and legislators, who permit these companies to operate with minimal transparency and accountability.

Gender equality plays a pivotal role in combating terrorism and violent extremist in the global arena. This chapter provides a brief overview of evolution, definition and overall goals of gender mainstreaming and analysis as a tool for understanding the unique needs of men and women to achieve gender equality at the institutional level by developing policies, implementing programs and reviewing security implications. Since the 21st-century battlefield is complex, kinetic and multi-dimensional, it requires a multi-disciplinary approach to find solutions to such issues. Using technological platforms, it is possible to supplement means to understand, foresight and address such complex dynamics. A focus on the duality of information technology and its interplay with social media for recruitment, preventing the spread of misinformation and even intercepting channels of communication, plays a vital role in combating terrorism and violent extremism. From a policy standpoint, offering education and training and providing easy access to information platforms along with other similar initiatives, will assist in gender equality and in development policies, programs and strategies.

Society faces a fundamental global problem of understanding which individuals are currently developing strong support for some extremist entity such as ISIS (Islamic State) – even if they never end up doing anything in the real world. The importance of online connectivity in developing intent has been confirmed by recent case-studies of already convicted terrorists. Here we identify dynamical patterns in the online trajectories that individuals take toward developing a high level of extremist support – specifically, for ISIS. Strong memory effects emerge among individuals whose transition is fastest, and hence may become ‘out of the blue’ threats in the real world. A generalization of diagrammatic expansion theory helps quantify these characteristics, including the impact of changes in geographical location, and can facilitate prediction of future risks. By quantifying the trajectories that individuals follow on their journey toward expressing high levels of pro-ISIS support — irrespective of whether they then carry out a real-world attack or not – our findings can help move safety debates beyond reliance on static watch-list identifiers such as ethnic background or immigration status, and/or post-fact interviews with already-convicted individuals. Given the broad commonality of social media platforms, our results likely apply quite generally: for example, even on Telegram where (like Twitter) there is no built-in group feature as in our study, individuals tend to collectively build and pass through so-called super-group accounts.

This article considers claims made by various authors that the use of filtering and recommendation technology on the Internet can deprive certain communities of feedback, and instead amplify groups’ viewpoints, leading to polarization of opinion across communities, and increases in extremism. The ‘echo chamber’ arguments of Cass Sunstein are taken as representative of this point of view, and examined in detail in the context of a range of research, theoretical and empirical, quantitative and qualitative, in political science and the sociology of religion, from the last quarter century. The conclusion is that the case has not been made either (a) that echo chambers are necessarily harmful, or (b) that the Internet is complicit in their formation.

The theory of echo chambers, which suggests that online political discussions take place in conditions of ideological homogeneity, has recently gained popularity as an explanation for patterns of political polarization and radicalization observed in many democratic countries. However, while micro-level experimental work has shown evidence that individuals may gravitate towards information that supports their beliefs, recent macro-level studies have cast doubt on whether this tendency generates echo chambers in practice, instead suggesting that cross-cutting exposures are a common feature of digital life. In this article, we offer an explanation for these diverging results. Building on cognitive dissonance theory, and making use of observational trace data taken from an online white nationalist website, we explore how individuals in an ideological ‘echo chamber’ engage with opposing viewpoints. We show that this type of exposure, far from being detrimental to radical online discussions, is actually a core feature of such spaces that encourages people to stay engaged. The most common ‘echoes’ in this echo chamber are in fact the sound of opposing viewpoints being undermined and marginalized. Hence echo chambers exist not only in spite of but thanks to the unifying presence of oppositional viewpoints. We conclude with reflections on policy implications of our study for those seeking to promote a more moderate political internet.

The increasing pervasiveness of social media has been matched by growing concerns regarding their potential impact on democracy and public debate. While some theorists have claimed that ICTs and social media would bring about a new independent public sphere and increase exposure to political divergence, others have warned that they would lead to polarization, through the formation of echo chambers. The issue of social media echo chambers is both crucial and widely debated. This article attempts to provide a comprehensive account of the scientific literature on this issue, highlighting the different approaches, their similarities, differences, benefits and drawbacks, and offering a consolidated and critical perspective that can hopefully support future research in this area. Concretely, it presents the results of a systematic review of 55 studies investigating the existence of echo chambers on social media, identifying patterns across their foci, methods and findings, and shedding light on the contradictory nature of the literature. We found that the results of research on this issue seem largely influenced by methodological and data collection choices. Indeed, articles that found clear evidence of echo chambers on social media were all based on digital trace data, while those that found no evidence were all based on self-reported data. Future studies should take into account the potential biases of the different approaches and the significant potential of combining self-reported data with digital trace data.