EthicsAccountabilityTransparencycs.CY
A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data
Akriti Bagale, Nafisa Mehjabin, Ali Ünlü, Aditya Johri
July 14, 2026
arXiv.org
Key Takeaways
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Public sentiment toward AI in education has remained predominantly positive over five years (2019-2024), with negative sentiment concentrated around specific ethical controversies rather than reflecting widespread opposition to AI integration in schools.
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ChatGPT's release marked a turning point in public discourse, fundamentally reshaping both the nature and tone of conversations about AI ethics in education on social media platforms.
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Academic integrity concerns have emerged as a dominant theme in recent discourse, particularly following the rise of generative AI, reflecting public anxiety about how these tools might be misused in educational contexts.
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The public conversation appears pragmatic and receptive to AI integration rather than polarized, suggesting that educators and policymakers may have more room for constructive dialogue about responsible AI adoption than polarization narratives might suggest.
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Social media platforms like Twitter provide valuable real-time insights into public perception of AI ethics, allowing researchers to track how major technological developments and ethical controversies shape public opinion at scale as events unfold.
Abstract
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 unfold frequently and at scale, offer a valuable lens for capturing large-scale, real-time public reactions to key developments as they emerge. In this study, we analyse five years (2019-2024) of discourse on Twitter (now X) to trace the evolving public conversation around AI ethics in education, paying particular attention to the release of ChatGPT as a pivotal moment that reshaped the nature and tone of that discourse. Using BERT-based topic modelling and SetFit sentiment analysis to identify dominant themes and track sentiment over time, we find that the discourse has been predominantly positive across the observation period, with negative sentiment concentrated around specific ethical controversies. More recently, anxieties about academic integrity and the broader implications of generative AI have come to dominate the conversation. Rather than reflecting a polarized debate, public discourse appears pragmatic and largely receptive to AI integration, though accompanied by growing calls for ethical oversight and institutional accountability. By providing a longitudinal account of public sentiment surrounding AI ethics in education, this study informs educators, institutions, and policymakers an empirically grounded understanding of public expectations, informing the development of responsible, transparent, and equitable approaches to AI integration across educational contexts.