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New dataset BharatGather targets misinformation in Indian public events

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced BharatGather, a new dataset designed to improve the detection of misinformation and fake news specifically within the context of Indian public events. The dataset contains 14,646 records, compiled using web scraping from fact-checking sites, multimedia transcript extraction, and LLM augmentation to capture socio-cultural nuances. BharatGather aims to provide a culturally informed benchmark for developing and evaluating misinformation detection systems tailored to the unique dynamics of events in India. AI

IMPACT This dataset could lead to more accurate AI models for detecting misinformation in culturally specific contexts, improving social cohesion during public events.

RANK_REASON The item is a research paper introducing a new dataset for a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

New dataset BharatGather targets misinformation in Indian public events

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The item is a research paper introducing a new dataset for a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Parth Bramhecha, Smit Deshmukh, Sairaj Bodhale, Adwait Borate, Raviraj Joshi ·

    BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events

    arXiv:2609.02895v1 Announce Type: new Abstract: Large-scale public events, such as religious festivals, political rallies, and cultural gatherings, are increasingly vulnerable to the rapid dissemination of misinformation, posing substantial risks to public safety and social cohes…

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