5-Year Twitter Study Maps AI Ethics Discourse in Education Post-ChatGPT

A new longitudinal study from researchers Akriti Bagale, Nafisa Mehjabin, Ali Ünlü, and Aditya Johri analyzed five years of public discourse on AI ethics in education using Twitter (now X) data from 2019 to 2024. The team applied BERT-based topic modeling to identify dominant themes and SetFit sentiment analysis to track sentiment shifts over time. They specifically examined the release of ChatGPT in late 2022 as a pivotal moment that reshaped the conversation. The dataset reveals that overall public sentiment remained predominantly positive across the entire period, with negative sentiment concentrated around specific ethical controversies rather than reflecting a fundamentally polarized debate.

However, the study found that after ChatGPT's release, anxieties about academic integrity and the broader implications of generative AI increasingly dominated the conversation. Rather than a stark pro/con divide, the public discourse appears pragmatic and largely receptive to AI integration, though accompanied by growing calls for ethical oversight and institutional accountability. The findings provide educators, institutions, and policymakers with an empirically grounded understanding of public expectations, informing the development of responsible, transparent, and equitable approaches to AI integration across educational contexts. The paper is currently under review at Discover Education.