# ChatGPT in education: A discourse analysis of worries and concerns on social media

arXiv: https://arxiv.org/abs/2305.02201 · HTML: https://mlsanity.com/paper/2305.02201/

## Key facts

- Cited by 12 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Apr 2023.

## Built on by (most cited first, 12 of 12)

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- [Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations](https://mlsanity.com/paper/2306.12951/) (2023)
- [Ethical Implications of ChatGPT in Higher Education: A Scoping Review](https://mlsanity.com/paper/2311.14378/) (2023)
- [Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt](https://mlsanity.com/paper/2501.09950/) (2025)
- [Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics](https://mlsanity.com/paper/2408.11962/) (2024)
- [Enhancing BERTopic with Intermediate Layer Representations](https://mlsanity.com/paper/2505.06696/) (2025)
- [Wayfinding through the AI wilderness: Mapping rhetorics of ChatGPT prompt writing on X (formerly Twitter) to promote critical AI literacies](https://mlsanity.com/paper/2511.00106/) (2025)

## Abstract (arXiv)

The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify key concerns related to the use of ChatGPT in education. We employed BERT-based topic modeling to conduct a discourse analysis and social network analysis to identify influential users in the conversation. While Twitter users generally ex-pressed a positive attitude towards the use of ChatGPT, their concerns converged to five specific categories: academic integrity, impact on learning outcomes and skill development, limitation of capabilities, policy and social concerns, and workforce challenges. We also found that users from the tech, education, and media fields were often implicated in the conversation, while education and tech individual users led the discussion of concerns. Based on these findings, the study provides several implications for policymakers, tech companies and individuals, educators, and media agencies. In summary, our study underscores the importance of responsible and ethical use of AI in education and highlights the need for collaboration among stakeholders to regulate AI policy.