Data for: Interrogating LLM discourse on pornography: Implications for sexuality education
https://doi.org/10.5878/ztna-gp56
The associated article analyses LLM outputs. The data made available here are outputs to prompts that the researcher gave to three LLMs: Grok, ChatGPT, and Gemini. The prompts were run in March 2025 and in August 2025. The data for the different times and from the different LLMs is uploaded in separate files (6 files).
Download 6 files with open access (2.27 MiB)
Files with open access (6)
Files with open access (6)
Citation and access
Citation and access
Access level:
Creator/Principal investigator(s):
Research principal:
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
The data collection was from Large Language Models (ChatGPT, Grok, Gemini).
Time method:
Sampling procedure:
Time period(s) investigated:
Data format/data structure:
Data collection - Other
Data collection - Other
Mode of collection:
Other
Description of the mode of collection:
Chatbot interactions, prompting three Large Language Models.
Time period(s) for data collection:
2025-03-20 - 2025-08-07
Data collector:
- University of Gothenburg
Opens a new window at ror.org.
ROR
Source of the data:
- Other
Administrative information
Administrative information
Responsible department/unit:
Department of Education, Communication and Learning
