Anger is More Influential Than Joy: Sentiment Correlation in Weibo
arXiv:1309.2402 · doi:10.1371/journal.pone.0110184
Abstract
Recent years have witnessed the tremendous growth of the online social media. In China, Weibo, a Twitter-like service, has attracted more than 500 million users in less than four years. Connected by online social ties, different users influence each other emotionally. We find the correlation of anger among users is significantly higher than that of joy, which indicates that angry emotion could spread more quickly and broadly in the network. While the correlation of sadness is surprisingly low and highly fluctuated. Moreover, there is a stronger sentiment correlation between a pair of users if they share more interactions. And users with larger number of friends posses more significant sentiment influence to their neighborhoods. Our findings could provide insights for modeling sentiment influence and propagation in online social networks.
References in corpus (4)
Cited by in corpus (11)
- Anger is More Influential Than Joy: Sentiment Correlation in Weibo
- An agent-based model for emotion contagion and competition in online social media
- Measuring the Diversity of Facebook Reactions to Research
- Emoticon-based Ambivalent Expression: A Hidden Indicator for Unusual Behaviors in Weibo
- Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality
- Weak ties strengthen anger contagion in social media
- IAD: Interaction-Aware Diffusion Framework in Social Networks
- Competition for popularity and interventions on a Chinese microblogging site
- Facebook Reaction-Based Emotion Classifier as Cue for Sarcasm Detection
- Tweet Moodifier: Towards giving emotional awareness to Twitter users
- Emotion Correlation Mining Through Deep Learning Models on Natural Language Text