Negative emotions boost users activity at BBC Forum
arXiv:1011.5459 · doi:10.1016/j.physa.2011.03.040
Abstract
We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users were investigated. Scale free distributions were observed for activity in individual discussion threads as well as for overall activity. The number of unique users in a thread normalized by the thread length decays with thread length, suggesting that thread life is sustained by mutual discussions rather than by independent comments. Automatic sentiment analysis shows that most posts contain negative emotions and the most active users in individual threads express predominantly negative sentiments. It follows that the average emotion of longer threads is more negative and that threads can be sustained by negative comments. An agent based computer simulation model has been used to reproduce several essential characteristics of the analyzed system. The model stresses the role of discussions between users, especially emotionally laden quarrels between supporters of opposite opinions, and represents many observed statistics of the forum.
29 pages, 6 figures
References in corpus (14)
- The origin of bursts and heavy tails in human dynamics
- Multirelational Organization of Large-scale Social Networks in an Online World
- Modeling bursts and heavy tails in human dynamics
- Characterizing and modeling the dynamics of online popularity
- Human dynamics revealed through Web analytics
- An Agent-Based Model of Collective Emotions in Online Communities
- Human Activity in the Web
- Dynamics of hate based networks
- Bloggers Behavior and Emergent Communities in Blog Space
- Scaling of human behavior during portal browsing
- Growing Trees in Internet News Groups and Forums
- Emotional Reactions and the Pulse of Public Opinion: Measuring the Impact of Political Events on the Sentiment of Online Discussions
- Priority queues with bursty arrivals of incoming tasks
- Flow of emotional messages in artificial social networks
Cited by in corpus (23)
- Happiness is assortative in online social networks
- Anger is More Influential Than Joy: Sentiment Correlation in Weibo
- Collective emotions online and their influence on community life
- Emotional persistence in online chatting communities
- An agent-based model for emotion contagion and competition in online social media
- It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice
- Structure and stability of online chat networks built on emotion-carrying links
- Weak ties strengthen anger contagion in social media
- Can Human-Like Bots Control Collective Mood: Agent-Based Simulations of Online Chats
- Entropy-growth-based model of emotionally charged online dialogues
- Collective emotion dynamics in chats with agents, moderators and Bots
- Statistical analysis of emotions and opinions at Digg website
- How the online social networks are used: Dialogs-based structure of MySpace
- Patterns of Emotional Blogging and Emergence of Communities: Agent-Based Model on Bipartite Networks
- Temporal Taylor's scaling of facial electromyography and electrodermal activity in the course of emotional stimulation
- Dynamical phase transition due to preferential cluster growth of collective emotions in online communities
- Classification-Based Opinion Formation Model Embedding Agents' Psychological Traits
- Discovering Basic Emotion Sets via Semantic Clustering on a Twitter Corpus
- Finite size induces crossover temperature in growing spin chains
- The role of emotional variables in the classification and prediction of collective social dynamics
- The Dynamics of Emotional Chats with Bots: Experiment and Agent-Based Simulations
- Emotional Analysis of Blogs and Forums Data
- Growing spin model in deterministic and stochastic trees