Echo Chambers: Emotional Contagion and Group Polarization on Facebook

IMT School for Advanced Studies Lucca

Abstract

Recent findings showed that users on Facebook tend to select information that adhere to their system of beliefs and to form polarized groups-i.e., echo chambers. Such a tendency dominates information cascades and might affect public debates on social relevant issues. In this work we explore the structural evolution of communities of interest by accounting for users emotions and engagement. Focusing on the Facebook pages reporting on scientific and conspiracy content, we characterize the evolution of the size of the two communities by fitting daily resolution data with three growth models-i.e. the Gompertz model, the Logistic model, and the Log-logistic model. Although all the models appropriately describe the…

Citation impact

558
total citations
FWCI
16.13
Percentile
100%
References
27
Citations per year

Authors

7

Topics & keywords

Keywords
  • Echo (communications protocol)
  • Gompertz function
  • Social media
  • Polarization (electrochemistry)
  • Logistic regression
  • Dynamics (music)
  • Affect (linguistics)
  • Psychology
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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