How Users' Personality Traits Predict Sentiment Tendencies of User‐Generated Content in Social Media: A Mixed Method of Configuration Analysis and Machine Learning.

Objective: Social media content created by users with different personality traits presents various sentiment tendencies, easily leading to irrational public opinion. This study aims to explore the relationships between users' personality traits and sentiment tendencies of user‐generated content (UG...

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Detalles Bibliográficos

Publicado en:	Journal of Personality Vol. 93; no. 5; pp. 1175 - 1189
Autores principales:	Yang, Yongqing, Xu, Jianyue, Zhao, Ling, Land, Lesley Pek Wee, Li, Wenli
Formato:	Artículo
Publicado:	Wiley-Blackwell Oct2025
Materias:	Twitter (Web resource) Personality Mood (Psychology) Social media Public opinion User-generated content Pattern perception Machine learning
Acceso en línea:	Ver este registro en EBSCOhost