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Emotional persistence in online chatting communities
Antonios Garas1, David Garcia, Marcin Skowron
1ETH Zurich, Kreuzplatz 5, 8032 Zurich, Switzerland.
Scientific Reports
|May 12, 2012
Summary
Online chatroom users exhibit predictable activity patterns and emotional consistency, similar to other communication forms. Despite anonymity, users adhere to social norms, creating distinct emotional tones in channels.
Area of Science:
- Computational Social Science
- Network Science
- Human-Computer Interaction
Background:
- Online chatrooms facilitate instantaneous user interaction.
- Understanding user behavior in these environments is crucial for digital communication studies.
- Previous research has explored communication patterns but often lacked large-scale emotional analysis.
Purpose of the Study:
- To analyze user behavior and emotional expressions in online chatrooms.
- To determine if online chat activity follows established communication patterns.
- To investigate the persistence of emotional states among users and channels.
Main Methods:
- Analysis of approximately 2.5 million posts from Internet Relay Channels (IRCs).
- Statistical analysis of user activity patterns, identifying power-law and stretched exponential distributions.
- Examination of emotional expressions (positive, negative, neutral) and their persistence.
- Development of an agent-based model to simulate emotional interactions and activity patterns.
Main Results:
- User activity in chatrooms follows known power-law and stretched exponential distributions.
- Online chat activity is statistically comparable to other communication forms.
- Remarkable emotional persistence was observed for both individual users and chat channels.
- An agent-based model successfully replicated observed activity and emotional persistence patterns.
Conclusions:
- Online chat behavior, including emotional expression, is not unique and aligns with broader communication principles.
- Anonymity does not preclude users from adhering to social norms and maintaining consistent emotional tones.
- The agent-based model provides a framework for understanding the dynamics of emotional interaction in online environments.
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