Twitter Discourse on ChatGPT Concerns in Education

Twitter data was collected to identify key concerns regarding the use of ChatGPT in education, supporting a specific discourse analysis study. The dataset was created by author Lingyao Li and was last updated in February 2026. It focuses on analyzing user worries and the accounts implicated in these discussions.

Use Cases

• Analyze the frequency and themes of user-expressed concerns about ChatGPT in education from Twitter discourse.
• Identify and categorize the types of accounts (e.g., educators, institutions, students) implicated in discussions of AI-related worries.
• Map the relationships between specific concern topics and the Twitter accounts that raise them to understand influence networks.
• Support natural language processing models to classify Twitter posts by the type of educational concern they express.

Strengths

• Data is directly tied to a published academic study on discourse analysis of AI in education.
• The dataset captures real-time public sentiment and concerns from the social media platform Twitter.
• Focuses on a timely and specific topic: worries about ChatGPT's application in educational contexts.

Limitations

• The dataset scope is limited to discussions on a single platform, Twitter, which may not represent all stakeholder views.
• Sample size, temporal coverage, and data volume (rows) are unspecified, limiting assessment of statistical power.
• Lack of column details or sample data prevents understanding of the data structure and available features for analysis.

Provenance

Source

ICPSR Harvested Dataverse

Collection Method

Collected from Twitter to support a discourse analysis study.

Freshness

Data was last updated in February 2026, indicating recent maintenance.