Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers

Abstract

While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as "echo chambers." Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their opinions and social connections based on the information to which they are exposed through sharing. The model dynamics show that even with minimal amounts of influence and unfriending, the social network rapidly devolves into segregated, homogeneous communities. These predictions are consistent with empirical data from Twitter. Although our findings suggest that echo chambers are somewhat inevitable given the mechanisms at play in online social media, they also provide insights into possible mitigation strategies.

arXiv comment28 pages, 11 figures. Forthcoming in Journal of Computational Social Science

References in corpus (15)

• Statistical physics of social dynamics
• The science of fake news
• Nonequilibrium phase transition in the coevolution of networks and opinions
• Modeling echo chambers and polarization dynamics in social networks
• Consensus formation on adaptive networks
• Partisan Asymmetries in Online Political Activity
• How algorithmic popularity bias hinders or promotes quality
• Competition-induced criticality in a model of meme popularity
• The egalitarian effect of search engines
• The production of information in the attention economy
• Quantifying Biases in Online Information Exposure
• Consensus formation on coevolving networks: groups' formation and structure
• Opinion diversity and community formation in adaptive networks
• A framework for the calibration of social simulation models
• A network model of conviction-driven social segregation

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