Publications by authors named "Nuo Han"

Article Synopsis
  • - This study merges psychology with machine learning to enhance the development and validation of a model predicting subjective well-being (SWB) on the social media platform Weibo, aiming to create a balance between prediction accuracy and conceptual clarity.
  • - Researchers collected data from 1,427 Weibo users, utilized various machine learning techniques, and evaluated the best model based on its validity and reliability, finding strong performance metrics (criterion validity of 0.50 to 0.52 and reliability of 0.94 to 0.96).
  • - The model identifies key factors influencing SWB related to cultural values, emotions, morality, and time and space, broadening the application of psychological theories in data-driven fields and serving as a
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The Easterlin paradox questions the link between economic growth and national well-being, emphasizing the necessity to explore the impact of economic elasticity, income inequality, and their temporal and spatial heterogeneity on subjective happiness. Despite the importance of these factors, few studies have examined them together, thus ongoing debates about the impact of economics on well-being persist. To fill this gap, our analysis utilizes 11 years of panel data from 31 provinces in China, integrating macroeconomic indicators and social media content to reassess the Easterlin paradox.

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Background: In recent years, women's fertility desire has attracted increasing attention in China.

Objective: This study aims to detect attitudes toward giving birth among young female users on Douban, a very popular Chinese social media platform.

Methods: A total of 2634 valid posts from 2489 users discussing the topic "What does childbirth mean to a woman" on Douban were crawled and retained for analysis.

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Background: Personality psychology studies personality and its variation among individuals and is an essential branch of psychology. In recent years, machine learning research related to personality assessment has started to focus on the online environment and showed outstanding performance in personality assessment. However, the aspects of the personality of these prediction models measure remain unclear because few studies focus on the interpretability of personality prediction models.

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Background: Positive mental health is arguably increasingly important and can be revealed, to some extent, in terms of psychological well-being (PWB). However, PWB is difficult to assess in real time on a large scale. The popularity and proliferation of social media make it possible to sense and monitor online users' PWB in a nonintrusive way, and the objective of this study is to test the effectiveness of using social media language expression as a predictor of PWB.

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The global COVID-19 pandemic may significantly affect the experiences of death and bereavement. This study aimed to learn from recent outbreaks of infectious diseases and further understand their impacts on bereavement. We obtained psychological status scores for 32 individuals bereaved due to COVID-19 and 127 individuals bereaved due to non-COVID-19 causes using the online ecological recognition (OER) approach.

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The pathogen-prevalence hypothesis postulates that collectivism would be strengthened in the long term in tandem with recurrent attacks of infectious diseases. However, it is unclear whether a one-time pathogen epidemic would elevate collectivism. The outbreak of COVID-19 and the widespread prevalence of online social networks have provided researchers an opportunity to explore this issue.

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