Deep Analysis of Taliban Videos: Differential Use of Multimodal, Visual and Sonic Forms across Strategic Themes

Mehran, Weeda; Bayati, Umniah Al; Mottet, Matthew; Lemieux, Anthony F.

doi:10.1080/1057610x.2020.1866739

Cited by 4 publications

(2 citation statements)

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“…There were five non-CS papers. Of these, full video featured heavily; two papers applied multimodal analysis [113,117] to investigate the video content and messaging, whereas one psychology paper investigated the effects of flagging deepfakes on subjects [118]. On the other hand, only a couple of CS papers went beyond two modalities: one focused on examining sequences of images and their captions from YouTube [119] and one paper on TikTok went further still by also incorporating audio [120].…”

Section: Multimodal Data Its Properties and How It Was Usedmentioning

confidence: 99%

Multimodal analysis of disinformation and misinformation

Wilson,

Wilkes,

Teramoto

et al. 2023

R. Soc. open sci.

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The use of disinformation and misinformation campaigns in the media has attracted much attention from academics and policy-makers. Multimodal analysis or the analysis of two or more semiotic systems—language, gestures, images, sounds, among others—in their interrelation and interaction is essential to understanding dis-/misinformation efforts because most human communication goes beyond just words. There is a confluence of many disciplines (e.g. computer science, linguistics, political science, communication studies) that are developing methods and analytical models of multimodal communication. This literature review brings research strands from these disciplines together, providing a map of the multi- and interdisciplinary landscape for multimodal analysis of dis-/misinformation. It records the substantial growth starting from the second quarter of 2020—the start of the COVID-19 epidemic in Western Europe—in the number of studies on multimodal dis-/misinformation coming from the field of computer science. The review examines that category of studies in more detail. Finally, the review identifies gaps in multimodal research on dis-/misinformation and suggests ways to bridge these gaps including future cross-disciplinary research directions. Our review provides scholars from different disciplines working on dis-/misinformation with a much needed bird's-eye view of the rapidly emerging research of multimodal dis-/misinformation.

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Section: Multimodal Data Its Properties and How It Was Usedmentioning

confidence: 99%

Multimodal analysis of disinformation and misinformation

Wilson,

Wilkes,

Teramoto

et al. 2023

R. Soc. open sci.

View full text Add to dashboard Cite

show abstract

“…Nowadays, Islamic extremists use a wide range of technical affordances ― action possibilities in the digital environment that emerge from the interplay of technical features (e.g., the uploading of recorded videos) and the usage of these features by the user (e.g., to upload propaganda versus a cooking tutorial; Evans et al, 2017) ― for their propaganda dissemination. For instance, Islamic extremists have been found to create specific hashtags (Awan, 2017) to create text-based, visual, and audiovisual materials (Mehran et al, 2021; Winter, 2018) and to employ fake accounts to simulate popularity for their content (Stern & Berger, 2016).…”

Section: Introductionmentioning

confidence: 99%

Behind Blue Skies: A Multimodal Automated Content Analysis of Islamic Extremist Propaganda on Instagram

Clever

Schatto‐Eckrodt

Clever

et al. 2023

Social Media + Society

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Social media platforms, such as Instagram, are regularly misused for spreading covert (Islamic) extremist propaganda. Affect and emotion are central tools used in extremist propaganda, but there is little research into the combined employment of different social media elements, such as hashtags, visuals, and texts, in the context of propaganda. This study contributes to closing this gap. Using the German group Generation Islam as a case study, we examined the group’s Instagram activity ( N = 1,187 posts) over the course of 2 years. To reflect the platform users’ logic, we (a) examined affect in hashtag networks in which users can come across propagandistic content, (b) employed deep learning to examine the emotional valence transmitted in the visuals, and (c) used automated linguistic analysis to describe collective action cues contained within the texts. The results are novel, as they provide nuanced insights into extremist propaganda’s employment of affect and emotions across Instagram’s affordances.

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The Impact of the Internet and Cyberspace on the Rise in Terrorist Attacks Across the US and Europe

Rees

Montasari

2022

Advanced Sciences and Technologies for Security Applications

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Deep Analysis of Taliban Videos: Differential Use of Multimodal, Visual and Sonic Forms across Strategic Themes

Cited by 4 publications

References 0 publications

Multimodal analysis of disinformation and misinformation

Multimodal analysis of disinformation and misinformation

Behind Blue Skies: A Multimodal Automated Content Analysis of Islamic Extremist Propaganda on Instagram

The Impact of the Internet and Cyberspace on the Rise in Terrorist Attacks Across the US and Europe

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