Journal Article |
Public support for counterterrorism efforts using probabilistic computing technologies to decipher terrorist communication on the internet
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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.
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2022 |
Reimer, T. and Johnson, N. |
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Journal Article |
Public Mental Health Approaches to Online Radicalisation: A Systematic Review of the Literature
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This systematic review seeks to position online radicalisation within whole system frameworks incorporating individual, family, community and wider structural influences, whilst reporting evidence of public mental health approaches for individuals engaging in radical online content. Methods: Authors searched Medline (via Ovid), PsycInfo (via Ebscohost) and Web of Science (Core Collection), with the use of Boolean operators across ‘extremism’, ‘online content’, and ‘intervention’. Results: Following assessment of full text, all retrieved papers had to be excluded. Results from six excluded articles which did not fit inclusion criteria but identified theoretical relationships between all three elements of online extremism, psychological outcomes, and intervention strategy, were discussed. Authors found no articles outlining public mental health approaches to specifically online radicalisation. Conclusions: There is an immediate need for further research in this field given the increase in different factions of radicalised beliefs resulting from online, particularly social media, usage.
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2023 |
Mughal, R., DeMarinis, V., Nordendahl, M., Lone, H., Phillips, V. and Boyd-MacMillan, E. |
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Lecture |
Public Lecture by VOX-Pol Research Fellow Nico Prucha: Understanding the ‘Islamic State’ Narratives
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Dr Prucha discusses how to understand ‘Islamic State’ narratives by analysing their media output. The lecture was organised by VOX-Pol partner institute, International Centre for the Study of Radicalisation (ICSR) and held at King’s College London on 6 July 2015. It focuses on the symbiotic relationships between ideology, media content and strategic action, and on how different messages are targeted at different audiences, was broadcast live on Periscope to wide enthusiasm.
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2015 |
Prucha, N. |
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Journal Article |
Psychology and morality of political extremists: evidence from Twitter language analysis of alt-right and Antifa
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The recent rise of the political extremism in Western countries has spurred renewed interest in the psychological and moral appeal of political extremism. Empirical support for the psychological explanation using surveys has been limited by lack of access to extremist groups, while field studies have missed psychological measures and failed to compare extremists with contrast groups. We revisit the debate over the psychological and moral appeal of extremism in the U.S. context by analyzing Twitter data of 10,000 political extremists and comparing their text-based psychological constructs with those of 5000 liberal and 5000 conservative users. The results reveal that extremists show a lower positive emotion and a higher negative emotion than partisan users, but their differences in certainty is not significant. In addition, while left-wing extremists express more language indicative of anxiety than liberals, right-wing extremists express lower anxiety than conservatives. Moreover, our results mostly lend support to Moral Foundations Theory for partisan users and extend it to the political extremists. With the exception of ingroup loyalty, we found evidences supporting the Moral Foundations Theory among left- and right-wing extremists. However, we found no evidence for elevated moral foundations among political extremists.
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2019 |
Alizadeh, M., Weber, I., Cioffi-Revilla, C., Fortunato, S. and Macy, M. |
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Journal Article |
Psychiatry of Radicalization and Terrorism in the Lone Wolf, Children, and Women: An E-ethnographic Approach for Analysis
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Radicalization is a global event affecting different countries and present in different historical contexts. Psychiatrists can help in the analysis of radicalization in individuals who operate autonomously from more radicalized groups. These lone actors or lone wolves are more difficult to spot as there is no unique identification because they operate as self-determined women or men. A focus of the current study is on the radicalization of children and women. The use of ethnographic research also using Internet sources has provided satisfactory results in the analysis of radicalization while reducing the risk and difficulties of approaching a sample population (terrorists, lone wolves, and radical groups) that, most of the time, is remote, dangerous and concealed to public scrutiny. Emphasis is also provided to the stages of development of radicalized thought and how radicalization can be understood in terms of cognitive and social development of the lone-wolf terrorist. The authors also explore how a radicalized leader can lever on the vulnerability of some individuals to radicalize them. Besides, the authors approach radicalized thought also as a logical fallacy and as a sign of dualistic thinking. Hence, a mix of cognitive, logical, and psychiatric triggers is analyzed in their potential to radicalize.
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2025 |
Lazzari, C., Nusair, A. and Rabottini, M. |
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Journal Article |
Prototype and Analytics for Discovery and Exploitation of Threat Networks on Social Media
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Identifying and profiling threat actors are high priority tasks for a number of governmental organizations. These threat actors may operate actively, using the Internet to promote propaganda, recruit new members, or exert command and control over their networks. Alternatively, threat actors may operate passively, demonstrating operational security awareness online while using their Internet presence to gather information they need to pose an offline physical threat. This paper presents a flexible new prototype system that allows analysts to automatically detect, monitor and characterize threat actors and their networks using publicly available information. The proposed prototype system fills a need in the intelligence community for a capability to automate manual construction and analysis of online threat networks. Leveraging graph sampling approaches, we perform targeted data collection of extremist social media accounts and their networks. We design and incorporate new algorithms for role classification and radicalization detection using insights from social science literature of extremism. Additionally, we develop and implement analytics to facilitate monitoring the dynamic social networks over time. The prototype also incorporates several novel machine learning algorithms for threat actor discovery and characterization, such as classification of user posts into discourse categories, user post summaries and gender prediction.
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2019 |
Simek, O., Shah, D. and Heier, A. |
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