Summary of A Linguistic Comparison Between Human and Chatgpt-generated Conversations, by Morgan Sandler et al.
A Linguistic Comparison between Human and ChatGPT-Generated Conversations
by Morgan Sandler, Hyesun Choung, Arun Ross, Prabu David
First submitted to arxiv on: 29 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study investigates the differences in linguistic features between human conversations and those generated by a language model (LLM), specifically ChatGPT-3.5. The research uses a dataset of 19.5K dialogues generated by ChatGPT-3.5 as a companion to the EmpathicDialogues dataset, employing Linguistic Inquiry and Word Count (LIWC) analysis to compare human and LLM-generated conversations across 118 linguistic categories. The results show that while human dialogues exhibit greater variability and authenticity, ChatGPT excels in categories such as social processes, analytical style, cognition, attentional focus, and positive emotional tone, reinforcing the notion that LLMs can be “more human than human.” However, no significant difference was found in positive or negative affect between ChatGPT and human dialogues. The research also contributes a novel dataset of conversations between two independent chatbots designed to replicate human conversations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how well computers can talk like humans. Researchers compared 19,500 conversations made by a computer program called ChatGPT-3.5 with real conversations people have. They used special tools to analyze the words and phrases in these conversations. The results show that computers are getting better at talking like humans, but they still don’t quite match up. Computers are good at using certain words and phrases that make them sound smart, but they’re not as good at using words and phrases that make them sound emotional or authentic. |
Keywords
* Artificial intelligence * Language model
