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Collective Emotions$
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Christian von Scheve and Mikko Salmela

Print publication date: 2014

Print ISBN-13: 9780199659180

Published to Oxford Scholarship Online: April 2014

DOI: 10.1093/acprof:oso/9780199659180.001.0001

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Modeling collective emotions in online social systems

Modeling collective emotions in online social systems

Chapter:
(p.389) Chapter 26 Modeling collective emotions in online social systems
Source:
Collective Emotions
Author(s):

David Garcia

Antonios Garas

Frank Schweitzer

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199659180.003.0026

Collective emotions in online social systems emerge through the interaction of thousands of Internet users. Their digital traces, i.e., the messages posted in chatrooms, fora, or product review communities, can be analyzed by means of statistical methods and sentiment detection, to reveal patterns in their online activity and emotional expressions. These findings are reproduced by agent-based models, in which agents’ emotional states are characterized by their individual valence (pleasantness or unpleasantness) and their arousal (the activity level associated with the emotion). Both variables change according to a stochastic dynamics, which follows the concept of Brownian agents. Regarding the emotional influence, different hypotheses about the agents’ responses to emotional information provided through the online medium are tested in this chapter. The chapter outlines the authors’ general framework of emotional communication, applying it to model emotional influence in product reviews communities and chatrooms. Further comments on the baseline of emotional expressions in text, and on the sharing of messages dependent on their emotional content are presented.

Keywords:   collective emotions, modeling framework, online social systems

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