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📄 Research Article

A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data

◐ medium · 2026-07-15ai-literacy, equity, policy-maker, academic-integrity, higher-ed, ai-governance-education, ethics, ai-education

Akriti Bagale, Nafisa Mehjabin, Ali Unlu, Aditya Johri, et al. (2026) - George Mason University; University of Virginia. arXiv preprint.

Key Findings

  • Longitudinal Twitter/X analysis maps how the public debates AI ethics concerns in Higher Ed and schools over time.
  • Surfaces the ethical concerns (bias, fairness, accountability) that educators and Educational Policy AIs must address for responsible adoption.
  • Ties public sentiment to Equity questions about who benefits and who is harmed by GenAI in education.
  • Complements Principled AI Education frameworks by grounding them in real discourse rather than expert opinion alone.
  • Relevant to Academic Integrity debates, as public concern shapes institutional response and policy.
  • Informs AI Literacy efforts: public discourse reveals the misconceptions needing pedagogical attention.

    • Connected Concepts

  • Higher Ed
  • Educational Policy AI
  • Equity
  • Academic Integrity
  • AI Literacy

    • Connected Articles

  • Principled AI Education

    • Citation

    Bagale, A., Mehjabin, N., Unlu, A., Johri, A., et al. (2026). A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data. arXiv:2607.12295.