Quotation Kusen, Ema, Strembeck, Mark, Cascavilla, Giuseppe, Conti, Mauro. 2017. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. In On the Influence of Emotional Valence Shifts on the Spread of Information in Social Networks, Hrsg. Jana Diesner, Elena Ferrari, Guandong Xu , 321-324. Sydney, Australia: ACM Press.


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Abstract

In this paper, we present a study on 4.4 million Twitter messages related to 24 systematically chosen real-world events. For each of the 4.4 million tweets, we first extracted sentiment scores based on the eight basic emotions according to Plutchik's wheel of emotions. Subsequently, we investigated the effects of shifts in the emotional valence on the spread of information. We found that in general OSN users tend to conform to the emotional valence of the respective real-world event. However, we also found empirical evidence that prospectively negative real-world events exhibit a significant amount of shifted emotions in the corresponding tweets (i.e. positive messages). To explain this finding, we use the theory of social connection and emotional contagion. To the best of our knowledge, this is the first study that provides empirical evidence for the undoing hypothesis in online social networks (OSNs). The undoing hypothesis postulates that positive emotions serve as an antidote during negative events.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
Title of whole publication On the Influence of Emotional Valence Shifts on the Spread of Information in Social Networks
Editor Jana Diesner, Elena Ferrari, Guandong Xu
Page from 321
Page to 324
Location Sydney, Australia
Publisher ACM Press
Year 2017
ISBN 978-1-4503-4993-

Associations

People
Kusen, Ema (Details)
Strembeck, Mark (Details)
External
Cascavilla, Giuseppe (University of Rome, Italy)
Conti, Mauro (University of Padua, Italy)
Organization
Information Systems and New Media IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1145 Time series analysis (Details)
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