[HTML][HTML] Contextual embeddings based on fine-tuned Urdu-BERT for Urdu threatening content and target identification

MSI Malik, U Cheema, DI Ignatov - … of King Saud University-Computer and …, 2023 - Elsevier
Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …

Abusive and threatening language detection in urdu using boosting based and bert based models: A comparative approach

M Das, S Banerjee, P Saha - arxiv preprint arxiv:2111.14830, 2021 - arxiv.org
Online hatred is a growing concern on many social media platforms. To address this issue,
different social media platforms have introduced moderation policies for such content. They …

Urduthreat@ fire2021: Shared track on abusive threat identification in urdu

M Amjad, A Zhila, G Sidorov, A Labunets… - Proceedings of the 13th …, 2021 - dl.acm.org
With the growth of spread and importance of social media platforms, the effect of their
misuse became more and more impactful. This shared task address the task of abusive and …

Overview of abusive and threatening language detection in urdu at fire 2021

M Amjad, A Zhila, G Sidorov, A Labunets… - arxiv preprint arxiv …, 2022 - arxiv.org
With the growth of social media platform influence, the effect of their misuse becomes more
and more impactful. The importance of automatic detection of threatening and abusive …

Abusive Language Detection in Urdu Text: Leveraging Deep Learning and Attention Mechanism

A Khan, A Ahmed, S Jan, M Bilal, MF Zuhairi - IEEE Access, 2024 - ieeexplore.ieee.org
The widespread use of the Internet and the tremendous growth of social media have
enabled people to connect with each other worldwide. Individuals are free to express …

Addressing cyberbullying in Urdu tweets: a comprehensive dataset and detection system

F Adeeba, MI Yousuf, I Anwer, SU Tariq… - PeerJ Computer …, 2024 - peerj.com
The prevalence of cyberbullying has reached an alarming rate, affecting approximately 54%
of teenagers who experience various forms of cyberbullying, including offensive hate …

Abusive and threatening language detection in Urdu using supervised machine learning and feature combinations

M Humayoun - arxiv preprint arxiv:2204.03062, 2022 - arxiv.org
This paper presents the system descriptions submitted at the FIRE Shared Task 2021 on
Urdu's Abusive and Threatening Language Detection Task. This challenge aims at …

Detecting Urdu COVID-19 misinformation using transfer learning

A Hussain, AK Nawabi, M Alam, MS Iqbal… - Social Network Analysis …, 2024 - Springer
Social media has become a prominent news source for many individuals due to its
convenience and accessibility. Unfortunately, this accessibility has also facilitated the rapid …

Enhancing COVID‐19 misinformation detection through novel attention mechanisms in NLP

A Hussain, W Ali, A Ahmad, MS Iqbal… - Expert …, 2025 - Wiley Online Library
The rapid evolution of electronic media in recent decades has exponentially amplified the
propagation of fake news, resulting in widespread confusion and misunderstanding among …

[PDF][PDF] Detection of threat records by analyzing the tweets in Urdu language exploring deep learning transformer-based models

S Kalraa, M Agrawala, Y Sharmaa - Proc. CEUR Workshop, 2021 - ceur-ws.org
As humans, we express sadness, anger, happiness, frustration, bullying, etc., in both
physical and virtual worlds. In the virtual world, ie, social media, we use textual ways to …