Research Article
Analyzing the Psychology Changes of Overconfidence in Ancient Chinese Corpus Based on CC-LIWC A Case Study of Wang Anshi Before and After the Xining Reform
@INPROCEEDINGS{10.4108/eai.26-5-2023.2337271, author={Liping Wang and Sijia Li and Miaorong Fan and Tingshao Zhu}, title={Analyzing the Psychology Changes of Overconfidence in Ancient Chinese Corpus Based on CC-LIWC A Case Study of Wang Anshi Before and After the Xining Reform}, proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={ICEKIM}, year={2023}, month={9}, keywords={psychological analysis social transformation overconfidence self-centered cc-liwc big data mining}, doi={10.4108/eai.26-5-2023.2337271} }- Liping Wang
Sijia Li
Miaorong Fan
Tingshao Zhu
Year: 2023
Analyzing the Psychology Changes of Overconfidence in Ancient Chinese Corpus Based on CC-LIWC A Case Study of Wang Anshi Before and After the Xining Reform
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337271
Abstract
The objective of this paper is to use the preserved and digitalized ancient Chinese materials for linguistic processing and statistical analysis, with the goal of extracting and scrutinizing the psychological traits of Wang Anshi, a historically controversial politician, during the period of social transformation. Wang Anshi was a famous politician of the Song dynasty, and he have caused considerable controversy for centuries. Overconfidence or self-centeredness is his main characteristic, but historical views differ. The changes in Wang Anshi’s overconfidence before and after the transformation are important for us to understand his behaviors and decisions. The methods of this paper involved a word frequency analysis of Wang Anshi’s self-narrative text with CC-LIWC and a comparative investigation into 22 categories of words across different stages of psychological development by comparing the multidimensional quantitative data of his overconfidence and self-centeredness. This paper not only provides a new approach to understanding the ancient people’s personality, but also contributes to the interdisciplinary field of linguistic psychology and historical analysis with big data analysis.
