Instruments and Tools to Identify Radical Textual Content
The Internet and social networks are increasingly becoming a media of extremist propaganda. On homepages, in forums or chats, extremists spread their ideologies and world views, which are often contrary to the basic liberal democratic values of the European Union. It is not uncommon that violence is...
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MDPI AG
2022-04-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/13/4/193 |
| _version_ | 1827600358924353536 |
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| author | Josiane Mothe Md Zia Ullah Guenter Okon Thomas Schweer Alfonsas Juršėnas Justina Mandravickaitė |
| author_facet | Josiane Mothe Md Zia Ullah Guenter Okon Thomas Schweer Alfonsas Juršėnas Justina Mandravickaitė |
| author_sort | Josiane Mothe |
| collection | DOAJ |
| description | The Internet and social networks are increasingly becoming a media of extremist propaganda. On homepages, in forums or chats, extremists spread their ideologies and world views, which are often contrary to the basic liberal democratic values of the European Union. It is not uncommon that violence is used against those of different faiths, those who think differently, and members of social minorities. This paper presents a set of instruments and tools developed to help investigators to better address hybrid security threats, i.e., threats that combine physical and cyber attacks. These tools have been designed and developed to support security authorities in identifying extremist propaganda on the Internet and classifying it in terms of its degree of danger. This concerns both extremist content on freely accessible Internet pages and content in closed chats. We illustrate the functionalities of the tools through an example related to radicalisation detection; the data used here are just a few tweets, emails propaganda, and darknet posts. This work was supported by the EU granted PREVISION (Prediction and Visual Intelligence for Security Intelligence) project. |
| first_indexed | 2024-03-09T04:33:56Z |
| format | Article |
| id | doaj.art-6b2179ff56cb4305bb1162d724f2c24b |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-09T04:33:56Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-6b2179ff56cb4305bb1162d724f2c24b2023-12-03T13:31:21ZengMDPI AGInformation2078-24892022-04-0113419310.3390/info13040193Instruments and Tools to Identify Radical Textual ContentJosiane Mothe0Md Zia Ullah1Guenter Okon2Thomas Schweer3Alfonsas Juršėnas4Justina Mandravickaitė5Institut de Recherche en Informatique de Toulouse, IRIT UMR5505 CNRS, Université de Toulouse, Componsante INSPE UT2J, IRIT, UMR5505 CNRS, 118 Rte de Narbonne, F-31400 Toulouse, FranceInstitut de Recherche en Informatique de Toulouse, IRIT UMR5505 CNRS, Université de Toulouse, Componsante INSPE UT2J, IRIT, UMR5505 CNRS, 118 Rte de Narbonne, F-31400 Toulouse, FranceInstitut für Musterbasierte Prognosetechnik (IfmPt), 46145 Oberhausen, GermanyInstitut für Musterbasierte Prognosetechnik (IfmPt), 46145 Oberhausen, GermanyBaltic Institute of Advanced Technology (BPTI), Pilies g. 16, 01124 Vilnius, LithuaniaBaltic Institute of Advanced Technology (BPTI), Pilies g. 16, 01124 Vilnius, LithuaniaThe Internet and social networks are increasingly becoming a media of extremist propaganda. On homepages, in forums or chats, extremists spread their ideologies and world views, which are often contrary to the basic liberal democratic values of the European Union. It is not uncommon that violence is used against those of different faiths, those who think differently, and members of social minorities. This paper presents a set of instruments and tools developed to help investigators to better address hybrid security threats, i.e., threats that combine physical and cyber attacks. These tools have been designed and developed to support security authorities in identifying extremist propaganda on the Internet and classifying it in terms of its degree of danger. This concerns both extremist content on freely accessible Internet pages and content in closed chats. We illustrate the functionalities of the tools through an example related to radicalisation detection; the data used here are just a few tweets, emails propaganda, and darknet posts. This work was supported by the EU granted PREVISION (Prediction and Visual Intelligence for Security Intelligence) project.https://www.mdpi.com/2078-2489/13/4/193cybercrimeradical content detectiontext analysistext mininginformation extractionkey-phrase extraction |
| spellingShingle | Josiane Mothe Md Zia Ullah Guenter Okon Thomas Schweer Alfonsas Juršėnas Justina Mandravickaitė Instruments and Tools to Identify Radical Textual Content Information cybercrime radical content detection text analysis text mining information extraction key-phrase extraction |
| title | Instruments and Tools to Identify Radical Textual Content |
| title_full | Instruments and Tools to Identify Radical Textual Content |
| title_fullStr | Instruments and Tools to Identify Radical Textual Content |
| title_full_unstemmed | Instruments and Tools to Identify Radical Textual Content |
| title_short | Instruments and Tools to Identify Radical Textual Content |
| title_sort | instruments and tools to identify radical textual content |
| topic | cybercrime radical content detection text analysis text mining information extraction key-phrase extraction |
| url | https://www.mdpi.com/2078-2489/13/4/193 |
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