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, expressions that promote resilience, solidarity, and optimism remain underexplored, particularly in Arabic contexts. This paper introduces AraHopeCorpus, the first annotated dataset of Arabic hope speech collected from ten thousand YouTube comments related to the war on Gaza between 2023 and 2024. Using a detailed annotation fra
The proliferation of social media in conflict zones necessitates tools for understanding and managing online discourse, especially as AI capabilities for language analysis advance.
This development allows for nuanced AI analysis of social media during crises, moving beyond just identifying harm to understanding and potentially fostering constructive communication, which is crucial for stability operations and information warfare.
The availability of a dedicated Arabic hope speech dataset enables the development of AI models that can identify and leverage positive sentiment in conflict discourse, shifting from solely defensive to more proactive information strategies.
- · AI ethicists and researchers
- · Social media platforms relying on content moderation
- · Humanitarian organizations
- · Governments focused on information stability
- · Propaganda actors operating unchecked
Improved AI systems for analyzing and synthesizing positive social media narratives in Arabic conflict zones.
Increased ability for states and non-state actors to counter negative narratives by amplifying hope speech, leading to more sophisticated information warfare tactics.
The potential for AI to be used to intentionally generate or manipulate 'hope speech', raising new ethical concerns about authenticity and influence.
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