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New ProBel resource aids propaganda detection across Arabic and English

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ProBel, a new resource for propaganda detection that supports both Arabic and English languages. This resource includes aligned annotations for binary classification, multi-label technique classification, span identification, and reference explanations. Experiments show that a single bilingual multi-task model performs best across various tasks and languages, demonstrating that transfer learning effectiveness depends on the supervision level. AI

IMPACT This research contributes to natural language processing by improving methods for detecting propaganda across languages and different classification levels.

RANK_REASON This is a research paper detailing a new dataset and model for propaganda detection. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

New ProBel resource aids propaganda detection across Arabic and English

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This is a research paper detailing a new dataset and model for propaganda detection. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, Giovanni Da San Martino, Firoj Alam ·

    ProBel: Propaganda Detection with Techniques, Spans, and Explanations

    arXiv:2608.22388v1 Announce Type: cross Abstract: Propaganda detection includes several related prediction levels, ranging from sentence-level decisions to technique classification and span identification. However, it remains unclear how supervision at these levels interacts when…

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