Online Library

The prevalence of dangerous misinformation and extreme views online has intensified since the onset of Israel-Hamas war on 7 October 2023. Social media platforms have long grappled with the challenge of providing effective mitigation schemes that can scale to the 5 billion-strong online population. Here, we introduce a novel solution grounded in online network engineering and demonstrate its potential through small pilot studies. We begin by outlining the characteristics of the online social network infrastructure that have rendered previous approaches to mitigating extremes ineffective. We then present our new online engineering scheme and explain how it circumvents these issues. The efficacy of this scheme is demonstrated through a pilot empirical study, which reveals that automatically assembling groups of users online with diverse opinions, guided by a map of the online social media infrastructure, and facilitating their anonymous interactions, can lead to a softening of extreme views. We then employ computer simulations to explore the potential for implementing this scheme online at scale and in an automated manner, without necessitating the contentious removal of specific communities, imposing censorship, relying on preventative messaging, or requiring consensus within the online groups. These pilot studies provide preliminary insights into the effectiveness and feasibility of this approach in online social media settings.

The article describes a systematic approach used by the Swiss Intelligence Service (SAP). The procedure described is illustrated by the authentic case of messages among extremists going on the Website www.islamic-minbar.com, a case that was prosecuted and brought to verdict by the Attorney General of the Swiss Confederation.

Die Autoren nehmen sich des Problems der Nutzung des Internets durch Linksextremisten an und analysieren die unterschiedlichen “Gesichter“ des linksextremismus im Internet.

Advancements in big data analytics offer new avenues for the analysis and deciphering of suspicious activities on the internet. One promising new technology to increase the identification of terrorism threats is based on probabilistic computing. The technology promises to provide more efficient problem solutions in encryption and cybersecurity. Probabilistic computing technologies use large amounts of data, though, which raises potential privacy concerns. A study (N = 1,023) was conducted to survey public support for using probabilistic computing technologies to increase counterterrorism efforts. Overall, strong support was found for the use of publicly available personal information (e.g., personal websites). Regarding private personal information (e.g., online conversations), respondents perceived it to be more appropriate to use information from out-group members (non-American citizens) than from in-group members (American citizens). In line with a social-identity account, this form of in-group favoritism was strongest among respondents displaying a combination of strong national identities and strong privacy concerns.

This thesis explores the ways in which civil and uncivil groups in Northern Ireland use the Internet to generate soft power. This research assesses whether the Internet creates a critical multiplier effect for marginal groups, such as terrorists and interface communities. A coding scheme, adapted from previous studies of political part websites, is used to determine whether these groups have realised the potential of the Internet as a tool for political mobilisation. The dissertation considers whether there are any qualitative differences between the online framing of terrorist-linked parties and the constitutional parties in the region.