Collective emotions online and their influence on community life

E-communities, social groups interacting online, have recently become an object of interdisciplinary research. As with face-to-face meetings, Internet exchanges may not only include factual information but also emotional information - how participants feel about the subject discussed or other group members. Emotions are known to be important in affecting interaction partners in offline communication in many ways. Could emotions in Internet exchanges affect others and systematically influence quantitative and qualitative aspects of the trajectory of e-communities? The development of automatic sentiment analysis has made large scale emotion detection and analysis possible using text messages collected from the web. It is not clear if emotions in e-communities primarily derive from individual group members' personalities or if they result from intra-group interactions, and whether they influence group activities. We show the collective character of affective phenomena on a large scale as observed in 4 million posts downloaded from Blogs, Digg and BBC forums. To test whether the emotions of a community member may influence the emotions of others, posts were grouped into clusters of messages with similar emotional valences. The frequency of long clusters was much higher than it would be if emotions occurred at random. Distributions for cluster lengths can be explained by preferential processes because conditional probabilities for consecutive messages grow as a power law with cluster length. For BBC forum threads, average discussion lengths were higher for larger values of absolute average emotional valence in the first ten comments and the average amount of emotion in messages fell during discussions. Our results prove that collective emotional states can be created and modulated via Internet communication and that emotional expressiveness is the fuel that sustains some e-communities.Comment: 23 pages including Supporting Information, accepted to PLoS ON

An Agent-Based Model of Collective Emotions in Online Communities

We develop a agent-based framework to model the emergence of collective emotions, which is applied to online communities. Agents individual emotions are described by their valence and arousal. Using the concept of Brownian agents, these variables change according to a stochastic dynamics, which also considers the feedback from online communication. Agents generate emotional information, which is stored and distributed in a field modeling the online medium. This field affects the emotional states of agents in a non-linear manner. We derive conditions for the emergence of collective emotions, observable in a bimodal valence distribution. Dependent on a saturated or a superlinear feedback between the information field and the agent's arousal, we further identify scenarios where collective emotions only appear once or in a repeated manner. The analytical results are illustrated by agent-based computer simulations. Our framework provides testable hypotheses about the emergence of collective emotions, which can be verified by data from online communities.Comment: European Physical Journal B (in press), version 2 with extended introduction, clarification

Group-centered framework towards a positive design of digital collaboration in global settings

Globally distributed groups require collaborative systems to support their work. Besides being able to support the teamwork, these systems also should promote well-being and maximize the human potential that leads to an engaging system and joyful experience. Designing such system is a significant challenge and requires a thorough understanding of group work. We used the field theory as a lens to view the essential aspects of group motivation and then utilized collaboration personas to analyze the elements of group work. We integrated well-being determinants as engagement factors to develop a group-centered framework for digital collaboration in a global setting. Based on the outcomes, we proposed a conceptual framework to design an engaging collaborative system and recommend system values that can be used to evaluate the system furtherComment: 6 Pages, 3 Figures, Positive computing, International Conference on Industrial Enterprise and System Engineerin

The phenomenon of negative emotions in the social existence of human

Purpose. The research is aimed at determining the influence of negative ethical emotions on social life and the activity of the individual, which involves solving the following problems: a) to find out approaches to the typology of ethical emotions, b) to highlight individual negative ethical emotions and to determine their ability to influence human behaviour. Theoretical basis. The theoretical and methodological basis of the research is the recognition of the significant influence of negative emotions on human activity in society. In this regard, it is proposed to consider them as a complex multidisciplinary phenomenon, which is predetermined by both social and personal factors of origin and has a certain specificity of objectification. Originality. The authors determined that in addition to destructive effects on a person of negative emotions, they can also have a constructive effect on person’s behaviour, due primarily to the fact that a person does not want to experience these emotions and therefore tries to avoid situations they cause. Conclusions. The ethical emotions of guilt, embarrassment, anger, disgust and contempt can affect, through the cognitive aspect of the emotional process, the decision-making process of people when they predict situations in which they risk to feel such emotions. So the emotion of guilt creates a constructive setup aimed at correcting inappropriate social norms of human behaviour. The emotion of embarrassment motivates a person to behave more benevolently in society in order to integrate in it and get its approval, thus encouraging the person to adhere to social and moral agreements and norms. The emotion of anger motivates a person to act to eliminate injustice, herewith not only in relation to himself, but also in relation to others. Rejecting those people who cause moral and social aversion, society creates a system of punishments and rewards that acts as a strong deterrent to the socio-cultural behaviour. The emotion of contempt performs the function of preventing punishment in relation to the despised individual