Evaluating others' well-being: Survey experiment on fictional Japanese celebrities generated from wikipedia articles and ChatGPT

评估他人幸福感:基于维基百科文章和 ChatGPT 生成的虚构日本名人调查实验

阅读:2

Abstract

Well-being attracts scholars' and policymakers' interests for decades. This study examines how respondents evaluate a "Good Life," "Happy Life," and "Meaningful Life" through the analysis of fictional celebrity articles using the supervised Indian Buffet Process (sIBP). We identify key patterns in well-being perception, highlighting the importance of artistic engagement, public influence, and career success across all three dimensions. While happiness is closely linked to career achievements and personal stability, meaning is driven by cultural and artistic contributions, and a good life balances both elements. Personal hardships negatively impact all three dimensions but are particularly detrimental to happiness. Conversely, creative contributions and public engagement enhance perceptions of a meaningful life. These findings suggest that external success and intrinsic fulfillment are both essential for well-being. Our approach demonstrates the value of computational text analysis in uncovering nuanced insights into societal conceptions of a fulfilling life, paving the way for further interdisciplinary research on well-being and perception.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。