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Comparing emotions in ChatGPT answers and human answers to the coding questions on Stack Overflow
Somayeh Fatahi1, Julita Vassileva1, Chanchal K Roy1
1Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Frontiers in Artificial Intelligence
|October 1, 2024
Summary
Large Language Models like ChatGPT show more positive emotions than humans, who express a wider emotional range including anger and disgust. This emotional divergence impacts AI-human interactions, especially in education.
Area of Science:
- Artificial Intelligence (AI)
- Natural Language Processing (NLP)
Background:
- Generative AI and NLP have produced Large Language Models (LLMs) like ChatGPT.
- These AI models assist programmers and show potential as educational tools.
- Concerns exist regarding the accuracy of AI-generated responses.
Purpose of the Study:
- To compare the emotional content of ChatGPT responses with human answers.
- To analyze emotional tone differences in AI versus human communication.
Main Methods:
- A comprehensive analysis was conducted on 2000 Stack Overflow (SO) questions and their answers.
- Emotional aspects of both AI (ChatGPT) and human responses were examined.
Main Results:
- ChatGPT responses were generally more positive than human responses.
- Human answers exhibited a broader emotional spectrum, including anger and disgust, unlike ChatGPT.
- Significant differences in anger, disgust, and joy expressions were noted.
Conclusions:
- A distinct emotional divergence exists between AI and human responses.
- ChatGPT displays a uniformly positive tone, while humans show greater emotional variability.
- Further research is needed on emotional content in AI-human interactions for educational applications.
Keywords:
ChatGPTStack Overflowemotion analysisgenerative AIlarge language modelsnatural language processingprogramming assistanceMore Related Videos
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