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

**Authors:** Lingyao Li, Zihui Ma, Lizhou Fan, Sanggyu Lee, Huizi Yu, Libby Hemphill  
**arXiv:** [2305.02201](https://arxiv.org/abs/2305.02201)  
**Date:** 2023-04-29  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2305.02201v1/

## Key points

- Generative AI models in education offer new opportunities but require addressing potential risks and concerns
- Twitter data analysis using NLP tools and social network analysis identified five categories of concern: academic integrity, impact on learning outcomes and skill development, limitation of capabilities, policy and social concerns, and workforce challenges
- Users from tech, education, and media fields were often involved in the conversation while education and tech individual users led the discussion of concerns
- Policymakers, tech companies and individuals, educators, and media agencies should collaborate to regulate AI policy responsibly and ethically in education
- Existing studies that rely on expert opinions or literature reviews have research gaps related to this topic
- Social media offers a platform for users to share their opinions based on real-world relevance of the discussion
- Media agencies should play an active role in promoting awareness about responsible AI use in education through effective communication strategies that can reach a wide audience.

## Summary

The use of generative AI models in education presents new opportunities but it is important to address potential risks and concerns. To gain insights into public concerns about using ChatGPT in educational settings, we analyzed Twitter data using Natural Language Processing tools and social network analysis. Our study stands out from previous studies by providing insights from a broad cross-section of Twitter users and analyzing influential users and their profile information from the social network. We identified five specific categories of concern: academic integrity, impact on learning outcomes and skill development, limitation of capabilities, policy and social concerns, and workforce challenges. 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. Policymakers, tech companies and individuals, educators, and media agencies should collaborate to regulate AI policy responsibly and ethically in education. Our study also revealed research gaps in existing studies that rely on expert opinions or literature reviews to summarize concerns related to this topic. Social media offers a platform for users to share their opinions based on real-world relevance of the discussion. Therefore, media agencies should play an active role in promoting awareness about responsible AI use in education through effective communication strategies that can reach a wide audience.