PHILOSOPHICAL REFLECTIONS ON SOCIAL PSYCHOLOGY AND CHARACTER ARCHETYPES IN LITERARY WORKS: INSIGHTS FROM DATA INTELLIGENCE ANALYSIS

Authors

  • Na Li Faculty of Chinese Studies, Southern University College, Johor Bahru, 80300, Malaysia.
  • Yoon Wah Wong Faculty of Chinese Studies, Southern University College, Johor Bahru ,80300, Malaysia.

DOI:

https://doi.org/10.24204/ejpr.2024.4562

Keywords:

Social Psychology, Character Groups, Literary Works, Data Intelligence Analysis.

Abstract

The early 20th century marked a transformative period in China’s socio-cultural landscape, characterized by profound political, economic, and cultural changes. This study offers a philosophical inquiry into the social psychology and moral identity of character groups in Lao She’s literary works through data-driven psychological analysis. Employing insights from big data and artificial intelligence, the research examines how personality traits in literary characters reflect broader societal values and existential struggles of the time. Findings indicate distinct gender-based differences in personality traits and subjective well-being. Characters display higher levels of agreeableness, openness, and neuroticism, coupled with lower extroversion and moderate conscientiousness. Neuroticism negatively correlates with well-being, while conscientiousness, agreeableness, extroversion, and openness positively influence it. These traits symbolize the societal psyche’s response to rapid modernization and cultural upheaval. The study highlights the philosophical relevance of using literary narratives as reflective mirrors of human experience, offering fresh perspectives on existential identity, moral agency, and collective consciousness within the evolving socio-historical context.

Published

2024-12-19

How to Cite

Na Li, and Yoon Wah Wong. 2024. “PHILOSOPHICAL REFLECTIONS ON SOCIAL PSYCHOLOGY AND CHARACTER ARCHETYPES IN LITERARY WORKS: INSIGHTS FROM DATA INTELLIGENCE ANALYSIS”. European Journal for Philosophy of Religion 16 (4):316-31. https://doi.org/10.24204/ejpr.2024.4562.

Issue

Section

Research Articles