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A Linguistic Comparison between Human and ChatGPT-Generated Conversations. (arXiv:2401.16587v1 [cs.CL])
cs.CL updates on arXiv.org arxiv.org
This study explores linguistic differences between human and LLM-generated
dialogues, using 19.5K dialogues generated by ChatGPT-3.5 as a companion to the
EmpathicDialogues dataset. The research employs Linguistic Inquiry and Word
Count (LIWC) analysis, comparing ChatGPT-generated conversations with human
conversations across 118 linguistic categories. Results show greater
variability and authenticity in human dialogues, but ChatGPT excels in
categories such as social processes, analytical style, cognition, attentional
focus, and positive emotional tone, reinforcing recent findings of LLMs being
"more human than human." …
analysis arxiv authenticity chatgpt chatgpt-3.5 companion comparison conversations count cs.cl dataset differences generated human llm research show study word