Online Library

Measuring extremist behavior and discourse online presents a significant methodological challenge largely due to the volume of content. This paper assesses the extent to which discourse communities created by extremists identified through qualitative analysis in prior research are present in a novel Telegram dataset and can be identified through Latent Dirichlet Allocation topic modeling and network analysis. It then compares the results of Louvian and Girvan-Newman network community detection methods and the topics assigned to each community to see if the underlying structure of association between topics is robust to the use of different community detection methods. The results indicate that it may be possible to map discourse communities through topic modeling and network analysis. However, the comparison of the algorithms is inconclusive. This work contributes to our understanding of how computational social science methods can be used to measure and analyze extremist use of the Internet at scale.

Social media’s role in the spread and evolution of extremism is a focus of intense study. Online extremists have been involved in the spread of online hate, mis/disinformation, and real-world violence. However, the overwhelming majority of existing work has focused on right-wing extremism. In this paper, we perform a first of its kind large-scale, data-driven study exploring left-wing extremism. We focus on “tankies,” a left-wing community that first arose in the 1950s in support of hardline actions of the USSR and has evolved to support what they call “actually existing socialist countries,” e.g., CCP run China, the USSR, former soviet countries, and North Korea. We collect 1.3M posts from 53K authors from tankies subreddits, and explore the position of tankies within the broader far-left community on Reddit. Among other things, we find that tankies are clearly on the periphery of the larger far-left community. When examining the contents of posts, we find misalignments and conceptual homomorphisms that confirm the description of tankies in the theoretical work. We also discover that tankies focus more on state-level political events rather than social issues in comparison to other far-left communities. Finally, we show that tankies exhibit some of the same worrying behaviors as right-wing extremists, e.g., relatively high toxicity and an organized response to deplatforming events.

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.