Stylometric comparisons of human versus AI-generated creative writing
| dc.contributor.author | O'Sullivan, James | en |
| dc.date.accessioned | 2025-01-23T12:59:42Z | |
| dc.date.available | 2025-01-23T12:59:42Z | |
| dc.date.issued | 2024 | en |
| dc.description.abstract | This study employs stylometry to compare the creative writing styles of humans and large language models (LLMs) such as GPT-3.5, GPT-4, and Llama 70b. Using a dataset of short stories generated in response to predefined narrative prompts, the analysis focuses on stylistic differences, measured through Burrows’ Delta, a widely used metric in computational literary studies. Clustering techniques reveals clear distinctions between human and AI-generated texts, findings which suggest that LLMs, while increasingly sophisticated in mimicking human creativity, remain distinguishable as machine-generated texts. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Draft | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | O'Sullivan, J. (2024) 'Stylometric comparisons of human versus AI-generated creative writing', pp. 1-7. | en |
| dc.identifier.endpage | 7 | en |
| dc.identifier.startpage | 1 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/16884 | |
| dc.language.iso | en | en |
| dc.rights | © 2024, James O'Sullivan. | en |
| dc.subject | Stylometry | en |
| dc.subject | Creative writing styles | en |
| dc.subject | Large language models (LLMs) | en |
| dc.subject | GPT-3.5 | en |
| dc.subject | GPT-4 | en |
| dc.subject | Llama 70b | en |
| dc.subject | Stylistic differences | en |
| dc.subject | Burrows’ Delta | en |
| dc.title | Stylometric comparisons of human versus AI-generated creative writing | en |
| dc.type | Article (non peer-reviewed) | en |
