Toxic language detection: A systematic review of Arabic datasets

I Bensalem, P Rosso, H Zitouni - Expert Systems, 2024 - Wiley Online Library
The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

Toxic language detection: a systematic review of Arabic datasets

I Bensalem, P Rosso, H Zitouni - arXiv preprint arXiv:2312.07228, 2023 - arxiv.org
The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

[PDF][PDF] Violence detection over online social networks: An Arabic sentiment analysis approach

M Khalafat, SA Ja'far, R Al-Sayyed, M Eshtay… - iJIM, 2021 - academia.edu
Today, the influence of the social media on different aspects of our lives is increasing, many
scholars from various disciplines and majors looking at the social media networks as the …

An nlp-powered human rights monitoring platform

A Alhelbawy, M Lattimer, U Kruschwitz, C Fox… - Expert Systems with …, 2020 - Elsevier
Effective information management has long been a problem in organisations that are not of
a scale that they can afford their own department dedicated to this task. Growing information …

[PDF][PDF] Unsupervised detection of violent content in arabic social media

KE Abdelfatah, G Terejanu, AA Alhelbawy - Comput. Sci. Inf. Technol …, 2017 - csitcp.com
ABSTRACT A monitoring system is proposed to detect violent content in Arabic social
media. This is a new and challenging task due to the presence of various Arabic dialects in …

A new dataset for topic-based paragraph classification in genocide-related court transcripts

M Schirmer, U Kruschwitz, G Donabauer - arXiv preprint arXiv:2204.02712, 2022 - arxiv.org
Recent progress in natural language processing has been impressive in many different
areas with transformer-based approaches setting new benchmarks for a wide range of …

RaFoLa: a rationale-annotated corpus for detecting indicators of forced labour

EM Guzman, V Schlegel, R Batista-Navarro - arXiv preprint arXiv …, 2022 - arxiv.org
Forced labour is the most common type of modern slavery, and it is increasingly gaining the
attention of the research and social community. Recent studies suggest that artificial …

FloDusTA: Saudi tweets dataset for flood, dust storm, and traffic accident events

B Hamoui, M Mars, K Almotairi - Proceedings of the Twelfth …, 2020 - aclanthology.org
The rise of social media platforms makes it a valuable information source of recent events
and users' perspective towards them. Twitter has been one of the most important …

From machine learning to deep learning for detecting abusive messages in arabic social media: survey and challenges

SA Azzi, CBO Zribi - … Conference on Intelligent Systems Design and …, 2020 - Springer
The pervasiveness of social networks in recent years has revolutionized the way we
communicate. The chance is now opened up for every person to freely and anonymously …

Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI

A Mei, S Levy, WY Wang - arXiv preprint arXiv:2212.09667, 2022 - arxiv.org
Users' physical safety is an increasing concern as the market for intelligent systems
continues to grow, where unconstrained systems may recommend users dangerous actions …