Asia Pacific Journal of Information Systems (APJIS)

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Current Issue

Date	September 2025
Vol. No.	Vol. 35 No. 3
DOI	https://doi.org/10.14329/apjis.2025.35.3.619
Page	619~649
Title	Netnographic Analysis of Value Practice in the ChatGPT Community from Value Cocreation Perspective: Relying on LDA Verification
Author	Yuhui Meng, Jian Mou, Jongki Kim, Ying Li
Keyword	ChatGPT Community, Value Practice, Netnographic Analysis, Initial Coding, Selective Coding, LDA
Abstract	Netnography is the practice of studying cultural attributes in human beings, or the process of analyzing and exploring the cultural logic or perspectives behind a particular group or community with a common interest. This research aims to clearly what kind of practice the ChatGPT lovers do in the ChatGPT community for their common goals. This netnographic study examined text data taken from posts by ChatGPT enthusiasts in the ChatGPT Super Topic Community on Sina Weibo. ChatGPT enthusiasts can share ChatGPT operation methods and their feelings to better facilitate the use of the ChatGPT system and enable the value cocreation process among users (i.e., the value practice process). ChatGPT community on Sina Weibo were the research objects, and the information in online posts was crawled and summarized through text mining. Text content was encoded by the method of initial coding and selective coding using NVivo 20 software. Finally, nine value practice types were identified based on Latent Dirichlet Allocation (LDA) verification in Python in this community for ChatGPT enthusiasts. This study serves as a preliminary exploration of the theoretical framework of value practice in the ChatGPT community and provides inspiration for subsequent researchers to explore ChatGPT-related issues.

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