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...
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: | |
Online Access: | https://www.mdpi.com/2076-3417/12/17/8413 |
Similar Items
-
Extending the OSLC Standard for ECA-Based Automation
by: Guillermo García-Grao, et al.
Published: (2023-07-01) -
The foundations of big data sharing: A CGIAR international research organization perspective
by: Ashleigh M. Basel, et al.
Published: (2023-03-01) -
Online System for Power Quality Operational Data Management in Frequency Monitoring Using <i>Python</i> and <i>Grafana</i>
by: Jose-María Sierra-Fernández, et al.
Published: (2021-12-01) -
Big Data Analytics For Organizations: Challenges and Opportunities and Its Effect on International Business Education
by: Twana Saeed Ali, et al.
Published: (2019-12-01) -
Samrakshan Yodha Dashboard of Diagnostic and Performance Metrics for Fetal Radiologists
by: Rijo Mathew Choorakuttil, et al.
Published: (2023-07-01)