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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Bibliographic Details

Published in:	Journal of Personality Vol. 93; no. 5; pp. 1175 - 1189
Main Authors:	Yang, Yongqing, Xu, Jianyue, Zhao, Ling, Land, Lesley Pek Wee, Li, Wenli
Format:	Article
Published:	Wiley-Blackwell Oct2025
Subjects:	Twitter (Web resource) Personality Mood (Psychology) Social media Public opinion User-generated content Pattern perception Machine learning
Online Access:	View this record in EBSCOhost