Detection of Extremist Ideation on Social Media Using Machine Learning Techniques
| Autor: | Kalamkas Bagitova, Milana Bolatbek, Batyrkhan Omarov, Shynar Mussiraliyeva |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
ComputingMilieux_THECOMPUTINGPROFESSION
business.industry Computer science media_common.quotation_subject 05 social sciences Internet privacy 050109 social psychology 02 engineering and technology Task (project management) Promotion (rank) Terrorism 0202 electrical engineering electronic engineering information engineering ComputingMilieux_COMPUTERSANDSOCIETY 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences The Internet Social media Ideology Web resource business Information exchange media_common |
| Zdroj: | Computational Collective Intelligence ISBN: 9783030630065 ICCCI |
| DOI: | 10.1007/978-3-030-63007-2_58 |
| Popis: | At present, the number of terrorist attacks carried out by lone terrorists under the influence of propaganda and extremist ideology, as well as by organized terrorist communities with a network and poorly connected structure, is increasing. The main means of information exchange, recruitment and promotion for such structures is the Internet, namely web resources, social networks and e-mail. In this regard, the task of detecting, identifying topics of communication, connections, as well as monitoring the behavior and forecasting of threats emanating from individual users, groups and network communities that generate and distribute terrorist and extremist information on the Internet arises. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|