Related Experiment Video
Updated: Sep 13, 2025

Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
Published on: May 29, 2020
Dynamic analysis of barrage comments on sentimental influence and behavior
Qiao Wang1, Liang Liu2, Stephen John Turnbull3
1Degree Programs in Systems and Information Engineering, University of Tsukuba, 305-8573, Ibaraki, Japan. s2430137@u.tsukuba.ac.jp.
Abstract:
With the rapid advancement of the Internet, emerging social media platforms facilitate real-time interaction among users, thereby rendering the impact of sentiments on behavior both faster and more complex. Analyzing and predicting the influence of sentiments on behavioral changes under various factors has become a critical issue. Grounded in the Emotions as Social Information (EASI) theory, this study conducts a comprehensive dynamic analysis of user sentimental changes from both personal and interpersonal perspectives. We employ HanLP for sentiment analysis and utilize structural equation modeling (SEM) and chi-square tests to analyze and validate the impact of sentiments on behavior. The results indicate that positive personal sentiment changes in users significantly enhance their purchase intentions. Furthermore, different users exhibit varying sentimental changes in their self-imitation behaviors. While positive emotions significantly influence users' repetitive posting behavior, the effect of repeated video watching is less pronounced. This study, incorporating both real-time and video-time dimensions, dynamically validates that users who imitate others' behaviors display more consistent positive emotions, providing evidence for sentimental contagion in user behaviors.
Related Concept Videos
Attribution Theory
Theory of Romantic Attachment in Adulthood
Relationship Formation
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...
Structuralism
Titchener's approach to structuralism was unique. He...
Humanistic Psychology
This approach...

