Code and Dataset for Generating Figures: Social friction vs. Cognitive efficiency: A comparative analysis of help-seeking behaviors in human communities and generative AI

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Authors: Qi Li
Cited by: 0

Abstract

This deposit contains Python code for generating Figures from the manuscript "Social friction vs. Cognitive efficiency: A comparative analysis of help-seeking behaviors in human communities and generative AI". It includes:- Code for data loading, filtering, cleaning, and word cloud generation (using datasets like LMSYS-Chat-1M and Stack Exchange).- Minimal fallback dataset (text samples in TXT files) for reproducibility if Hugging Face datasets are inaccessible.- README with installation, dependencies (requirements.txt), and execution instructions (e.g., handle HF token).This supports PLOS ONE's code sharing guidelines for reproducibility.

Fields of Study & Subjects

Expert finding and Q&A systems Software Engineering Research Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026
Language
EN
Document type
Dataset