{
  "id": 10349,
  "url": "https://arxiv.org/abs/2607.12295v1",
  "title": "A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data",
  "summary": "The rapid integration of artificial intelligence (AI) and generative AI (GenAI) into education presents significant opportunities to enhance teaching and learning, while raising ethical concerns about the responsible use of these technologies in educational settings. Understanding how the public perceives and debates these issues is increasingly important for educators, institutions, and policymakers seeking to integrate AI responsibly and equitably. Social media platforms, where such debates un",
  "authors": "Akriti Bagale, Nafisa Mehjabin, Ali Ünlü, Aditya Johri",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-14T03:08:47.000Z",
  "fetched_at": "2026-07-15T05:10:55.633Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/10349",
  "original_url": "https://arxiv.org/abs/2607.12295v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}