Down the rabbit hole: Detecting online extremism, radicalisation, and politicised hate speech

J Govers, P Feldman, A Dant, P Patros - ACM Computing Surveys, 2023 - dl.acm.org
Social media is a modern person's digital voice to project and engage with new ideas and
mobilise communities—a power shared with extremists. Given the societal risks of unvetted …

Online extremism detection: A systematic literature review with emphasis on datasets, classification techniques, validation methods, and tools

M Gaikwad, S Ahirrao, S Phansalkar, K Kotecha - Ieee Access, 2021 - ieeexplore.ieee.org
Social media platforms are popular for expressing personal views, emotions and beliefs.
Social media platforms are influential for propagating extremist ideologies for group …

A review on fake news detection 3T's: typology, time of detection, taxonomies

S Rastogi, D Bansal - International Journal of Information Security, 2023 - Springer
Fake news has become an industry on its own, where users paid to write fake news and
create clickbait content to allure the audience. Apparently, the detection of fake news is a …

[HTML][HTML] A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection

MK Al-Alawi, A Jaddoa, J Cugley, H Hassanin - Journal of Energy Storage, 2024 - Elsevier
In line with the global mission in achieving the net zero target through deployment of
renewable energy technologies and electrifying the transportation sector; precise and …

Celebrity profiling through linguistic analysis of digital social networks

LG Moreno-Sandoval, A Pomares-Quimbaya… - Computational Social …, 2021 - Springer
Digital social networks have become an essential source of information because celebrities
use them to share their opinions, ideas, thoughts, and feelings. This makes digital social …

An NLP‐Based Framework to Spot Extremist Networks in Social Media

A Zapata Rozo, D Díaz-López, J Pastor-Galindo… - …, 2024 - Wiley Online Library
Governments and law enforcement agencies (LEAs) are increasingly concerned about
growing illicit activities in cyberspace, such as cybercrimes, cyberespionage, cyberterrorism …

A bibliometric analysis of online extremism detection

M Gaikwad, S Ahirrao, SP Phansalkar… - Library Philosophy …, 2020 - search.proquest.com
The Internet has become an essential part of modern communication. People are sharing
ideas, thoughts, and beliefs easily, using social media. This sharing of ideas has raised a …

An improved sentiment analysis approach to detect radical content on twitter

K Boukhalfa, O Boussaid, Y Ramdane - International Journal of …, 2021 - igi-global.com
Social networks are used by terrorist groups and people who support them to propagate
their ideas, ideologies, or doctrines and share their views on terrorism. To analyze tweets …

An early warning detection system of terrorism in Indonesia from twitter contents using naive bayes algorithm

M Aryuni, E Miranda, Y Fernando… - 2020 International …, 2020 - ieeexplore.ieee.org
Aware on the benefits of social media as the networking platform, the extremist organization
is utilized social media to spread the ideology, recruit new member and guided a suicide …

Graphical visualization of the connections of involved users and identifying influential spreaders in a social network

S Mussiraliyeva, G Baispay, R Ospanov… - … on Electrical and …, 2022 - ieeexplore.ieee.org
According to the latest research, the use of social media to track the spread of radical ideas
and extremist threats has attracted the attention of researchers for over 10 years. In recent …