Making Sense of Language Signals for Monitoring Radicalization

Making Sense of Language Signals for Monitoring Radicalization

Understanding radicalization pathways, drivers, and factors is essential for the effective design of prevention and counter-radicalization programs. Traditionally, the primary methods used by social scientists to detect these drivers and factors include literature reviews, qualitative interviews, fo...

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Bibliographic Details
Main Authors: Óscar Araque, J. Fernando Sánchez-Rada, Álvaro Carrera, Carlos Á. Iglesias, Jorge Tardío, Guillermo García-Grao, Santina Musolino, Francesco Antonelli
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
radicalization
semantic
linked data
natural language
dashboard
big data
Online Access:https://www.mdpi.com/2076-3417/12/17/8413

Internet

https://www.mdpi.com/2076-3417/12/17/8413

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