[Paper Review] Higher contagion and weaker ties mean anger spreads faster than joy in social media

Rui Fan, Ke Xu+1 more|arXiv (Cornell University)|Aug 12, 2016

Misinformation and Its Impacts22 citations

TL;DR

This study analyzes 11 million Weibo tweets to demonstrate that anger spreads faster than joy in social media due to higher contagion and preferential dissemination through weaker social ties. Using a computational social science approach, it reveals that anger's rapid spread is driven by both greater emotional contagion and its ability to cross community boundaries via weak ties, offering insights for personal anger management and controlling online outrage.

ABSTRACT

Increasing evidence suggests that, similar to face-to-face communications, human emotions also spread in online social media. However, the mechanisms underlying this emotional contagion, for example, whether different feelings spread in unlikely ways or how the spread of emotions relates to the social network, is rarely investigated. Indeed, because of high costs and spatio-temporal limitations, explorations of this topic are challenging using conventional questionnaires or controlled experiments. Because they are collection points for natural affective responses of massive individuals, online social media sites offer an ideal proxy for tackling this issue from the perspective of computational social science. In this paper, based on the analysis of millions of tweets in Weibo, surprisingly, we find that anger is more contagious than joy, indicating that it can spark more angry follow-up tweets. Moreover, regarding dissemination in social networks, anger travels easily along weaker ties than joy, meaning that it can infiltrate different communities and break free of local traps because strangers share such content more often. Through a simple diffusion model, we reveal that greater contagion and weaker ties function cooperatively to speed up anger's spread. The diffusion of real-world events with different dominant emotions provides further testimony to the findings. To the best of our knowledge, this is the first time that quantitative long-term evidence has been presented that reveals a difference in the mechanism by which joy and anger are disseminated. Our findings shed light on both personal anger management in human communications and on controlling collective outrage in cyberspace.

Motivation & Objective

• To investigate the mechanisms underlying emotional contagion in online social media, particularly differences between positive and negative emotions.
• To examine how social network structure—especially tie strength—affects the spread of emotions like anger and joy.
• To provide quantitative, long-term evidence on the differential dynamics of emotional contagion using real-world user-generated content.
• To explore implications for personal emotional regulation and collective behavior management in cyberspace.

Proposed method

• The study analyzes over 11 million tweets from approximately 100,000 Weibo users over a six-month period to capture natural emotional expressions.
• Emotions are categorized into four types: joy, anger, disgust, and sadness using NLP-based sentiment analysis.
• The researchers model emotional contagion using a diffusion model that tracks the propagation of emotional content across social networks.
• Tie strength is quantified based on interaction frequency and reciprocity, distinguishing strong ties (frequent, mutual interactions) from weak ties (infrequent, one-sided or non-reciprocal connections).
• The study employs a longitudinal analysis to track the spread of emotions triggered by real-world events with distinct dominant emotions.
• Statistical modeling and network analysis are used to compare the speed, reach, and structural pathways of anger versus joy propagation.

Experimental results

Research questions

• RQ1 How do the contagion rates of anger and joy differ in online social media?
• RQ2 Does the strength of social ties influence the spread of different emotions, particularly anger and joy?
• RQ3 To what extent does emotional contagion travel across community boundaries, and how do weak ties contribute to this?
• RQ4 How do real-world events with distinct emotional tones affect the propagation dynamics of anger and joy?
• RQ5 What mechanisms—contagion strength or network structure—primarily drive the faster spread of anger?

Key findings

• Anger is significantly more contagious than joy, triggering more follow-up angry tweets per initial post.
• Anger spreads more rapidly and extensively than joy, especially through weaker social ties, which act as bridges between communities.
• Weaker ties are more likely to share angry content, enabling anger to break free from local clusters and reach strangers more easily.
• Joy tends to remain within stronger-tie communities, showing a clustering effect that limits its cross-community diffusion.
• The combination of higher contagion and preferential spread through weak ties creates a synergistic effect that accelerates anger’s diffusion.
• Real-world events with dominant anger or joy show consistent patterns, confirming that anger spreads faster in natural settings.