Research Paper#Natural Language Processing, Fake News Detection, Domain Adaptation, Urdu🔬 ResearchAnalyzed: Jan 3, 2026 19:36
Urdu Fake News Classification with Domain Adaptation
Published:Dec 28, 2025 04:42
•1 min read
•ArXiv
Analysis
This paper addresses the critical problem of fake news detection in a low-resource language (Urdu). It highlights the limitations of directly applying multilingual models and proposes a domain adaptation approach to improve performance. The focus on a specific language and the practical application of domain adaptation are significant contributions.
Key Takeaways
- •Addresses fake news detection in a low-resource language (Urdu).
- •Employs domain adaptation to improve performance of multilingual models.
- •Demonstrates the effectiveness of domain-adapted XLM-RoBERTa.
- •Provides insights into the application of domain adaptation for low-resource NLP tasks.
Reference
“Domain-adapted XLM-R consistently outperforms its vanilla counterpart.”