ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu

MH Akram, K Shahzad, M Bashir - Information Processing & Management, 2023 - Elsevier
Social media has become the most popular platform for free speech. This freedom of speech
has given opportunities to the oppressed to raise their voice against injustices, but on the …

[HTML][HTML] Ontology-based feature selection: A survey

K Sikelis, GE Tsekouras, K Kotis - Future Internet, 2021 - mdpi.com
The Semantic Web emerged as an extension to the traditional Web, adding meaning
(semantics) to a distributed Web of structured and linked information. At its core, the concept …

Sentiment analysis of Twitter messages using word2vec by weighted average

KA Djaballah, K Boukhalfa… - 2019 Sixth International …, 2019 - ieeexplore.ieee.org
Terrorist groups and their supporters use social networks to incite terrorism. They spread
their ideas and doctrines by sharing their opinions on these social networks. In this article …

[HTML][HTML] Method for detecting far-right extremist communities on social media

A Karpova, A Savelev, A Vilnin, S Kuznetsov - Social Sciences, 2022 - mdpi.com
Far-right extremist communities actively promote their ideological preferences on social
media. This provides researchers with opportunities to study these communities online …

Detecting radical text over online media using deep learning

A Kaur, JK Saini, D Bansal - arxiv preprint arxiv:1907.12368, 2019 - arxiv.org
Social Media has influenced the way people socially connect, interact and opinionize. The
growth in technology has enhanced communication and dissemination of information …

Machine Learning Approaches for Extremism Detection: Challenges, Pitfall and Opportunities

MA Hussain, K Shahzad… - … Conference on IT and …, 2024 - ieeexplore.ieee.org
Social networks, such as Facebook, Twitter, and YouTube, are free for everyone, including
extremist groups. These extremist groups may use social media to spread radical ideas …

[HTML][HTML] An Ontological Framework to Facilitate Early Detection of 'Radicalization'(OFEDR)—A Three World Perspective

L Wendelberg - Journal of Imaging, 2021 - mdpi.com
This paper presents an ontology that involves using information from various sources from
different disciplines and combining it in order to predict whether a given person is in 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 …

Dark Social Capital und dschihadistische Radikalisierung in Deutschland. Eine Netzwerkanalyse

J Saal, A Liedhegener - Gesellschaftliche Ausgangsbedingungen für …, 2023 - Springer
Die in den frühen 2000er Jahren einsetzende Kette dschihadistischer Terroranschläge in
Europa hat die Öffentlichkeit nicht nur immer wieder neu erschüttert, sondern mittlerweile …

A principle of designing infographic for visualization representation of tourism social big data

KW Su, CL Liu, YW Wang - Journal of Ambient Intelligence and …, 2023 - Springer
With the development of technology, people have more needs for the visual representation
of interface information. Visualization, image and interaction have all become the design …