Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

Terrorism Detection From Social Media

Authors
Rishabh Tibrewal1, *, Savna Tripathi1, Tanya Srivastava1
1Department of Computer Science, ABES Engineering College, Ghaziabad, UP, India
*Corresponding author. Email: rishabh.t0303@gmail.com
Corresponding Author
Rishabh Tibrewal
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_88How to use a DOI?
Keywords
Terrorism; social media; detection; prediction; civil disturbances; civil unrest prediction
Abstract

Research has shown that social media platforms on the internet such as Twitter, Facebook, Youtube, Reddit, blogging platforms have become a breeding ground for terrorist organisations to spread their beliefs and agenda, and recruit members by reaching audiences far beyond the country borders. Concerns regarding possible abuse are raised by the fact that some platforms are being utilized to organize and disseminate information related to civil disturbance occurrences. Social media platforms make it easier to communicate facilitating the propagation of hateful content. Social media’s anonymity and worldwide reach enable extremist organisations to elude conventional surveillance, making it challenging for law enforcement to monitor their operations. The risk of internet radicalisation is increased by algorithm-driven content recommendations, which further magnify radical viewpoints. This study examines the body of research on how social media contributes to terrorist attacks and civil unrest, examining its effects, ways of exploitation, and potential defenses against these dangers.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_88How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rishabh Tibrewal
AU  - Savna Tripathi
AU  - Tanya Srivastava
PY  - 2025
DA  - 2025/11/04
TI  - Terrorism Detection From Social Media
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1062
EP  - 1072
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_88
DO  - 10.2991/978-94-6463-858-5_88
ID  - Tibrewal2025
ER  -