Emotion evolution under entrainment in social media

Saike He, Xiaolong Zheng, Daniel Zeng, Bo Xu, Guanhua Tian, Hongwei Hao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Emotion entrainment refers to the phenomenon that people gradually synchronize to other's emotion states through social interactions. Previous studies mainly focus on conducting laboratory experiments or small-scale offline surveys. Large-scale empirical studies on real-world emotion entrainment among individuals are still to be explored. Especially, determinants that influence this process are not clear. Also, how emotion evolves among people in a large scale population is still unknown. In this study, we attempt to conduct a large-scale empirical analysis on emotion entrainment based on online social media information. For this purpose, we develop a model-free framework to measure entrainment strength among people. Experimental results indicate that interaction partners with strong reciprocal entrainment tend to assume similar emotion states, and negative emotion is more empathetic in an intimate relationship. Especially, when the relationship is balanced, users are more emotionally similar to each other.

Original languageEnglish (US)
Title of host publicationSocial Media Processing - 3rd National Conference, SMP 2014, Proceedings
EditorsJie Tang, Ting Liu, Heyan Huang, Hua-Ping Zhang
PublisherSpringer-Verlag
Pages155-163
Number of pages9
ISBN (Electronic)9783662455579
DOIs
StatePublished - Jan 1 2014
Event3rd National Conference on Social Media Processing, SMP 2014 - Beijing, China
Duration: Nov 1 2014Nov 2 2014

Publication series

NameCommunications in Computer and Information Science
Volume489
ISSN (Print)1865-0929

Other

Other3rd National Conference on Social Media Processing, SMP 2014
CountryChina
CityBeijing
Period11/1/1411/2/14

Keywords

  • Emotion entrainment
  • Social media
  • Transfer entropy

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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