Emotional Reactions and Kansei Cognition of Weibo Users Towards ChatGPT
- DOI
- 10.2991/978-2-38476-257-6_20How to use a DOI?
- Keywords
- ChatGPT; kansei cognition; emotional response; imprinting theory; sentiment analysis
- Abstract
Focusing on the individual level, this study selects text data from individuals on the Weibo platform since the release of ChatGPT 4.0 as the research sample. It employs the Gephi network analysis tool and sentiment analysis methods, aiming to explore individuals’ kansei cognition of ChatGPT and their emotional responses. Drawing from the perspective of imprinting theory, this research illustrates how individuals’ kansei cognition of ChatGPT is shaped through a combination of four dimensions: ethics, R&D, consciousness, and production. It further analyzes how this perception influences individuals’ emotional responses. Additionally, this study refines the binary classification of emotional responses (i.e., positive and negative emotions) found in existing literature, introducing a subdivision of neutral emotions into positive and negative nuances based on the reinforcement and modulation of kansei cognition. Through this classification, the study enhances existing theories of affective response and offers new theoretical insights.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Genlong Zhou AU - Fei Qiao PY - 2024 DA - 2024/05/27 TI - Emotional Reactions and Kansei Cognition of Weibo Users Towards ChatGPT BT - Proceedings of the 2024 International Conference on Applied Economics, Management Science and Social Development (AEMSS 2024) PB - Atlantis Press SP - 162 EP - 168 SN - 2352-5428 UR - https://doi.org/10.2991/978-2-38476-257-6_20 DO - 10.2991/978-2-38476-257-6_20 ID - Zhou2024 ER -