DocumentCode
116612
Title
Characterizing emotion entrainment in social media
Author
Saike He ; Xiaolong Zheng ; Xiuguo Bao ; Hongyuan Ma ; Zeng, Deze ; Bo Xu ; Changliang Li ; Hongwei Hao
Author_Institution
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
fYear
2014
fDate
17-20 Aug. 2014
Firstpage
642
Lastpage
648
Abstract
The sociological theory of entrainment accounts for the synchronization of human rhythmic modalities through social interactions: they coordinate in a variety of dimensions including linguistic styles, facial expressions, music pace, applause, and so on. Though highly relevant, emotion entrainment has received little attention to date. In addition, most previous studies on entrainment are done through small scale or controlled laboratory studies. In this paper, we investigate emotion entrainment in the context of online social media. To the best of our knowledge, this is the first time that emotion entrainment has been examined on a large scale, real world setting. For this purpose, we propose a framework that can model entrainment phenomenon and measure its effect. Our framework differentiates from previous research by its model-free essential and discerning in entrainment directions. These traits enable us to model entrainment dynamics under few assumptions, and distinguish emotion flow of entrainment. In our studies, we investigate entrainment patterns under different emotion states, i.e. positive, neutral and negative. We discover that entrainments under different emotions all follow a power law distribution. Besides, people are willing to entrain to others under positive emotion, and users with positive emotion are more likely to be entrained. By inspecting the interactions between entrainment and emotion, we reveal that entrainment has an effect of negotiating different emotion types toward an even distribution.
Keywords
social networking (online); social sciences computing; synchronisation; emotion entrainment characterization; emotion flow; emotion states; entrainment dynamics; entrainment patterns; human rhythmic modality synchronization; online social media; positive emotion; power law distribution; social interactions; sociological theory; Blogs; Conferences; Entropy; Markov processes; Media; Mood; Social network services; emotion entrainment; social media; transfer entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ASONAM.2014.6921653
Filename
6921653
Link To Document