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arXiv · 2606.10225

BENI Global 10: A Multilingual Economic Narrative Corpus for the Global South

Ann Naser Nabil
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Abstract

Economic narrative indices are predominantly English-centric; 84% of sentiment-based forecasting research focuses on developed economies. We present BENI Global 10, the first multilingual economic news corpus spanning 10 languages across 7 language families and 5 economic regions: Bangla (Bangladesh), Hindi (India), Turkish (Turkey), Indonesian (Indonesia), Portuguese (Brazil), Arabic (Egypt), Vietnamese (Vietnam), Filipino (Philippines), Swahili (Kenya), and Urdu (Pakistan). The corpus contains 522,397 economically relevant articles filtered from 2.8M raw documents using 25-32 translated keywords per language. We provide: (1) a reproducible streaming pipeline with checkpoint-resume for low-resource environments, (2) per-language schema-normalized Parquet files with economic relevance labels, (3) a temporally synced cross-lingual index covering 2018-2024, and (4) comparative analysis revealing systematic differences in how economic narratives are framed across Global South regions. Inter-annotator agreement reaches kappa > 0.70 across all languages. The complete dataset, code, and annotation guidelines are publicly released for research use.

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Ann Naser Nabil. 2026-06-08. BENI Global 10: A Multilingual Economic Narrative Corpus for the Global South. https://arxiv.org/abs/2606.10225

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