Negative Sentiment Shift on a Chinese Movie-Rating Website

作     者：Hongkai Mao 

作者机构：the Social Sciences DivisionUniversity of ChicagoChicagoIL 60637USA 

出 版 物：《Journal of Social Computing》 (社会计算（英文）)

年 卷 期：2023年第4卷第2期

页      面：168-180页

核心收录：

学科分类：1303[艺术学-戏剧与影视学] 13[艺术学] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：computational social science online community group polarization sentiment analysis user engagement negative sentiment 

摘      要：Shifting to negativity is more and more prevalent in online communities and may play a key role in group *** current research indicates a close relationship between group polarization and negative sentiment,they often link negative sentiment shifts with echo chambers and misinformation within echo *** this work,we explore the sentiment drift using over 4 million comments from a Chinese online movie-rating community that is less affected by misinformation than other mainstream online communities and has no echo chamber *** measure the sentiment shift of the community and users of different engagement *** analysis reveals that while the community does not show a tendency toward negativity,users of higher engagement levels are generally more negative,considering factors like the different movies they *** results indicate a fitting-in process,suggesting the possible mechanism of group identity on sentiment shift on social media *** findings also provide guidance on web design to tackle the negativity issue and expand sentiment shift analysis to non-English contexts.