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New dataset tracks hope speech in Arabic social media during crises

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced AraHopeCorpus, a new dataset designed to study hope speech in Arabic social media during crises. The corpus, derived from 10,000 YouTube comments related to the Gaza conflict from 2023-2024, found that over 64% of comments expressed hope, primarily through religious encouragement, solidarity, and optimism. The dataset also identified about 13% as "no hope speech" reflecting despair, with the remainder being neutral or mixed. While large language models like ChatGPT can assist in annotation, they struggle with dialectal and culturally nuanced expressions. AI

IMPACT Provides a new resource for studying constructive digital discourse and hope speech detection in crisis contexts.

RANK_REASON The cluster contains a research paper introducing a new annotated dataset for studying hope speech in Arabic social media.

Read on arXiv cs.CL →

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

COVERAGE [2]

  1. arXiv cs.CL TIER_1 · Esra'a Sharqawi, Wajdi Zaghouani ·

    AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse

    arXiv:2605.23325v1 Announce Type: new Abstract: Social media has become a crucial arena for shaping public narratives during armed conflicts, providing space for both harmful and constructive communication. While hate speech and misinformation have been widely studied, expression…

  2. arXiv cs.CL TIER_1 · Wajdi Zaghouani ·

    AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse

    Social media has become a crucial arena for shaping public narratives during armed conflicts, providing space for both harmful and constructive communication. While hate speech and misinformation have been widely studied, expressions that promote resilience, solidarity, and optim…

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