Negative Sentiment Shift on a Chinese Movie-Rating Website  

作　　者：Hongkai Mao 

机构地区：[1]the Social Sciences Division,University of Chicago,Chicago,IL 60637,USA

出　　处：《Journal of Social Computing》2023年第2期168-180,共13页社会计算（英文）

摘　　要：Shifting to negativity is more and more prevalent in online communities and may play a key role in group polarization.While 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 chambers.In 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 structures.We measure the sentiment shift of the community and users of different engagement levels.Our 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 consume.The results indicate a fitting-in process,suggesting the possible mechanism of group identity on sentiment shift on social media platforms.These findings also provide guidance on web design to tackle the negativity issue and expand sentiment shift analysis to non-English contexts.

关 键 词：computational social science online community group polarization sentiment analysis user engagement negative sentiment 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] J99[自动化与计算机技术—计算机科学与技术]