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TV, twitter, and telegram: Al-Shabaab’s attempts to influence mass media

October 30, 2024

This research paper examines and assesses how members of the Somali jihadi insurgent group al-Shabaab have attempted to influence the mass media for strategic communications purposes. Using the group’s activities between the years 2005 and 2017 as a case study, this paper asserts that al-Shabaab’s attempts to influence the mass media for news coverage purposes, ...

Ockham’s Razor Overturned: QAnon Null Interaction on Telegram. A Comparative Study

October 20, 2024

This paper discusses research on QAnon, a controversial conspiracy movement. Its public engagement mechanisms and discursive practices, focusing on members’ activities on Telegram, are analysed. These activities have elevated concerns about the group’s threat to democracy, prompting intelligence agencies to identify it as a potential risk. This study emphasises the need to understand QAnon’s discursive ...

Memes, humor, and the far right’s strategic mainstreaming

September 18, 2024

The far right is increasingly relying on visual and less extreme online communication, for instance by using memes, to strategically mainstream their ideology. The use of humor in particular renders their communication more relatable to a mainstream audience. However, little is known about the actual impacts of the different content characteristics they employ to become ...

Social Media and Radicalization: An Affordance Approach for Cross-Platform Comparison

September 14, 2024

To accentuate which platform characteristics particularly foster radicalization and extremist dynamics, this contribution investigates the affordances of social media as delineated in contemporary literature, conducting a platform comparison encompassing Telegram, WhatsApp, and X (formerly Twitter). Based on a scoping review, 17 affordances identified from studies researching radicalization dynamics on social media were extracted and categorized. ...

Message Deletion on Telegram: Affected Data Types and Implications for Computational Analysis

September 5, 2024

Ephemeral digital trace data can decrease the completeness, reproducibility, and reliability of social media datasets. Systematic post deletions thus potentially bias the results of computational methods used to map actors, content, and online information diffusion. Therefore, the aim of this study was to assess the extent and distribution of message deletion across different data types ...