Improving detection accuracy of politically motivated cyber-hate using heterogeneous stacked ensemble (HSE) approach
NS Mullah, WMNW Zainon - Journal of Ambient Intelligence and …, 2023 - Springer
The surge in cyber-hate crimes is largely fuelled by the popularization of social media
platforms. On that note, cyber-hate has become an increasing concern for most countries …
platforms. On that note, cyber-hate has become an increasing concern for most countries …
UPV at the Arabic hate speech 2022 shared task: Offensive language and hate speech detection using transformers and ensemble models
This paper describes our participation in the shared task Fine-Grained Hate Speech
Detection on Arabic Twitter at the 5th Workshop on Open-Source Arabic Corpora and …
Detection on Arabic Twitter at the 5th Workshop on Open-Source Arabic Corpora and …
Ar-PuFi: A short-text dataset to identify the offensive messages towards public figures in the Arabian community
M Abdelhakim, B Liu, C Sun - Expert Systems with Applications, 2023 - Elsevier
The fight against offensive speech on the Internet necessitates increased efforts from
linguistic analysis and artificial intelligence perspectives to develop countermeasures and …
linguistic analysis and artificial intelligence perspectives to develop countermeasures and …
Hate speech detection in asian languages: a survey
LK Dhanya, K Balakrishnan - 2021 international conference on …, 2021 - ieeexplore.ieee.org
In this study, we present a language-based survey of hate speech detection in Asian
languages. The motivation of this survey is to encourage the development of an automated …
languages. The motivation of this survey is to encourage the development of an automated …
Does centralization of online content regulation affect political hate speech in a country? A public choice perspective
This study primarily examines how the centralization of online content regulation increases
political hate speech in a country. It also explores the roles of the government's social media …
political hate speech in a country. It also explores the roles of the government's social media …
Offensive language detection in low resource languages: A use case of Persian language
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE,
VULGAR, OR OFFENSIVE BY SOME READERS. Different types of abusive content such as …
VULGAR, OR OFFENSIVE BY SOME READERS. Different types of abusive content such as …
Sentiment Analysis on Social Media: Hate Speech To the Government on Twitter
This study aims to determine public sentiment towards hate speech against the government
on Twitter social media. This study analyzes and uses data available on Drone Emprit …
on Twitter social media. This study analyzes and uses data available on Drone Emprit …
Cyberbullying Detection Model for Arabic Text Using Deep Learning
In the new era of digital communications, cyberbullying is a significant concern for society.
Cyberbullying can negatively impact stakeholders and can vary from psychological to …
Cyberbullying can negatively impact stakeholders and can vary from psychological to …
Machine learning for hate speech detection in arabic social media
Abstract (WARNING: This paper may contain some offensive words) Over the past few years,
abusive language and cyberbullying have known a great increase on social media in …
abusive language and cyberbullying have known a great increase on social media in …
Fake news detection using hybrid deep learning method
AK Yadav, S Kumar, D Kumar, L Kumar, K Kumar… - SN Computer …, 2023 - Springer
The growth of online social networks platforms in recent years has resulted in the
widespread dissemination of social news such as commercial adverts, political news …
widespread dissemination of social news such as commercial adverts, political news …