Terrorism Detection From Social Media
- 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.
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 -