Addressing Data Scarcity in Bangla Fake News Detection: An LLM-Based Dataset Augmentation Approach

·ArXiv cs.CL··

arXiv:2605.01292v1 Announce Type: new Abstract: The growing spread of misinformation in digital media highlights the need for reliable fake news detection systems, yet progress in under-resourced languages such as Bangla is limited by small and imbalanced datasets. This study investigates whether Large Language Model (LLM) based augmentation can effectively address this limitation and improve Bangla fake news classification. Existing datasets remain valuable but highly imbalanced, limiting model...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 5mo ago
Harvard particle physicist Matthew Schwartz drops 36 papers authored with Claude
xqcgrek2 · Hacker News · 1d ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 5mo ago
An AI agent emailed researchers for help. It told us why
sbulaev · Hacker News · 9h ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 5mo ago