European Female Supporters of the Islamic State: A Multimodal Discourse Analysis of their Facebook Profiles

Nilsen, Anne Birgitta

doi:10.18261/issn.1890-7008-2020-01-01

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…79 of 85)” (Zjakic et al, 2017 , p. 17). Also, Nilsen ( 2020 ) used online observation and multimodal analyses of modes and semiotic resources found in Facebook profiles to study the types of discourses employed by European women supporters of ISIS analyzing the ideologies used to set up compliant Facebook profiles. Their analysis uses different modes like photos, posters and texts with semiotic resources like vocabulary, symbols, clothing and colours in the posts.…”

Section: Methodsmentioning

confidence: 99%

The gendered dimensions of the anti-mask and anti-lockdown movement on social media

Al-Rawi

Siddiqi

Wenham

et al. 2022

Humanit Soc Sci Commun

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This paper examines the anti-mask and anti-lockdown online movement in connection to the COVID-19 pandemic. To combat the spread of the coronavirus, health officials around the world urged and/or mandated citizens to wear facemasks and adopt physical distancing measures. These health policies and guidelines have become highly politicized in some parts of the world, often discussed in association with freedom of choice and independence. We downloaded references to the anti-mask and anti-lockdown social media posts using 24 search terms. From a total of 4209 social media posts, the researchers manually filtered the explicit visual and textual content that is related to discussions of different genders. We used multimodal discourse analysis (MDM) which analyzes diverse modes of communicative texts and images and focuses on appeals to emotions and reasoning. Using the MDM approach, we analysed posts taken from Facebook and Instagram from active anti-mask and anti-lockdown users, and we identified three main discourses around the gendered discussion of the anti-mask movement including hypermasculine, sexist and pejorative portrayals of “Karen”, and appropriating freedom and feminism discourses. A better understanding of how social media users evoke gendered discourses to spread anti-mask and anti-lockdown messages can help researchers identify differing reactions toward pandemic measures.

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Section: Methodsmentioning

confidence: 99%

The gendered dimensions of the anti-mask and anti-lockdown movement on social media

Al-Rawi

Siddiqi

Wenham

et al. 2022

Humanit Soc Sci Commun

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In the digital trenches: Mapping the structure and evolution of the Islamic State’s information ecosystem (2023–2024)

Lakomy

2024

Media, War & Conflict

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Based on open-source intelligence, social network analysis and comparative analysis, this study discusses the structure, evolution and most important features of the pro-Islamic State (IS) information ecosystem on the surface web between July 2023 and March 2024. It proves that the core of its propaganda distribution network is surprisingly centralized around three stand-alone domains, including one link directory – Fahras – and two propaganda repositories: I’lam and al-Raud. These webpages constitute the core of the ecosystem, densely interconnected with a broad range of secondary channels designed to lure online audiences to these hotspots of pro-IS communication. This centrality manifests a previously unnoticed shift in IS’s methods of designing and maintaining propaganda distribution networks. The study also shows that, despite frequent claims from stakeholders, IS has not abandoned exploiting mainstream social networks, although only some of them were preferred. On top of this, it proves that the pro-IS media bureaus continued to rely on a broad range of file-sharing services, including the Internet Archive, although the latter proved quite efficient in taking down its productions. Last but not least, IS confirms the continued interest of Daesh in exploiting several types of encrypted communication apps, such as Telegram and Rocket Chat.

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Islamists vs. Far Right Extremists

Al‐Saggaf

Walsh

2021

International Journal of Cyber Warfare and Terrorism

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In this study, a data mining technique, specifically a decision tree, was applied to look at the similarities and differences between Islamists and Far Right extremists in the Profiles of Individual Radicalisation in the United States (PIRUS) dataset. The aim was to identify differences and similarities across various groups that may highlight overlaps and variations across both Islamists and Far Right extremists. The data mining technique analysed data in the PIRUS dataset according to the PIRUS codebook's grouping of variables. The decision tree technique generated a number of rules that provided insights about previously unknown similarities and differences between Islamists and Far Right extremists. This study demonstrates that data mining is a valuable approach for shedding light on factors and patterns related to different forms of violent extremism.

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European Female Supporters of the Islamic State: A Multimodal Discourse Analysis of their Facebook Profiles

Cited by 3 publications

References 23 publications

The gendered dimensions of the anti-mask and anti-lockdown movement on social media

The gendered dimensions of the anti-mask and anti-lockdown movement on social media

In the digital trenches: Mapping the structure and evolution of the Islamic State’s information ecosystem (2023–2024)

Islamists vs. Far Right Extremists

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