Multimedia Content Coding and Analysis: Unraveling the Content of Jihadi Extremist Groups' Videos |
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Authors: | Arab Salem Edna Reid Hsinchun Chen |
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Institution: | 1. Artificial Intelligence Lab, Management Information Systems Department , University of Arizona , Tucson, AZ, USA;2. Department of Library Science , Clarion University , Clarion, PA, USA |
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Abstract: | This article presents an exploratory study of jihadi extremist groups’ videos using content analysis and a multimedia coding tool to explore the types of video, groups’ modus operandi, and production features that lend support to extremist groups. The videos convey messages powerful enough to mobilize members, sympathizers, and even new recruits to launch attacks that are captured (on video) and disseminated globally through the Internet. They communicate the effectiveness of the campaigns and have a much wider impact because the messages are media rich with nonverbal cues and have vivid images of events that can evoke not only a multitude of psychological and emotional responses but also violent reactions. The videos are important for jihadi extremist groups’ learning, training, and recruitment. In addition, the content collection and analysis of extremist groups’ videos can help policymakers, intelligence analysts, and researchers better understand the extremist groups’ terror campaigns and modus operandi, and help suggest counterintelligence strategies and tactics for troop training. |
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