Profiling ISIS Supporters on Twitter
Autor: | Olga Goussevskaia, Ana Paula Couto da Silva, Bruno Guilherme Gomes, Pedro Holanda |
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Rok vydání: | 2017 |
Předmět: |
Computer science
media_common.quotation_subject 010401 analytical chemistry Media studies 020206 networking & telecommunications 02 engineering and technology 01 natural sciences 0104 chemical sciences Hatred World Wide Web Terrorism 0202 electrical engineering electronic engineering information engineering Profiling (information science) media_common |
Zdroj: | WebMedia |
DOI: | 10.1145/3126858.3131597 |
Popis: | Cyber Terrorism is a real threat to the modern society. Many terrorist organizations spread their ideas and recruit new supporters over Online Social Networks. Among all terrorist organizations, ISIS can be considered as the biggest one, which is responsible for inspiring terrorist actions in more than 20 countries. As expected, ISIS uses Twitter for spreading its hatred, and an important issue is how to characterize these supporters in order to understand their motivation. Our work investigates and discusses the way ISIS organizes within Twitter. We base our analyses on two curated datasets. The first dataset, "How ISIS Uses Twitter?" (HIUT), is provided by the Fifth Tribe digital agency. The second dataset, "Syria and ISIS Mentioners?" (SIM), we collected ourselves and curated without participation of experts in the field. We made the SIM dataset publically available, helping new studies in the understanding of ISIS supporters' profiles on Twitter. The main contribution of this work is a characterization of both HIUT and SIM datasets. |
Databáze: | OpenAIRE |
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