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StanceNakba task uses transformer models for conflict discourse analysis

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced the StanceNakba 2026 shared task, focusing on stance detection within the polarized discourse surrounding the Palestinian-Israeli conflict. The task includes two subtasks: classifying English social media posts into Pro-Palestine, Pro-Israel, or Neutral stances, and identifying stances on normalization with Israel and refugee presence in Arabic posts. The initiative is supported by a dataset of 2,606 annotated posts, and participating teams utilized fine-tuned transformer models like MARBERT and AraBERT, achieving high F1 scores. AI

IMPACT Advances NLP techniques for analyzing polarized discourse in conflict zones, potentially improving understanding of social media narratives.

RANK_REASON The cluster describes a new academic paper presenting a shared task and dataset for NLP research.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

StanceNakba task uses transformer models for conflict discourse analysis

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Kholoud K. Aldous, Md Rafiul Biswas, Mabrouka Bessghaier, Shimaa Ibrahim, Kais Attia, Wajdi Zaghouani ·

    StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse

    arXiv:2606.12068v1 Announce Type: new Abstract: We present StanceNakba 2026, a shared task on stance detection in polarized social media discourse related to the Palestinian-Israeli conflict, organized as part of Nakba-NLP 2026 at LREC-COLING 2026. The task introduces two subtask…

  2. arXiv cs.CL TIER_1 English(EN) · Wajdi Zaghouani ·

    StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse

    We present StanceNakba 2026, a shared task on stance detection in polarized social media discourse related to the Palestinian-Israeli conflict, organized as part of Nakba-NLP 2026 at LREC-COLING 2026. The task introduces two subtasks: Subtask A (Actor-Level Stance Detection), whi…

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