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New dataset tackles Hindi media bias in Indian political news

Researchers have developed a new dataset focused on media bias in Hindi political news articles from India. This dataset includes 448 articles from four leading Hindi news agencies, annotated by 14 experts for four types of bias: selection, framing, clickbait, and omission. The project aims to improve the understanding and detection of media bias in Indian languages, with high inter-annotator agreement scores indicating the reliability of the dataset. AI

IMPACT This dataset could enable better AI-driven analysis of media bias in Hindi, improving understanding of information ecosystems in India.

RANK_REASON The item describes a new academic dataset for research purposes. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset tackles Hindi media bias in Indian political news

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26 / 100
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The item describes a new academic dataset for research purposes. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Kushal Trivedi, Mayank Mahor, Dhruv Sanghvi, Roshni Chakraborty ·

    You Are What You Read: Indian Political News Media Bias Dataset for Hindi Language

    arXiv:2611.13686v1 Announce Type: new Abstract: Media bias understanding and detection remains an under-researched problem for Indian context, specifically for Indic languages, such as, Hindi, which is widely spoken in India. In this paper, we introduce a comprehensive, multi-ann…