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Opinion formation on dynamic networks: identifying conditions for the emergence of partisan echo chambers.
Evans, Tucker; Fu, Feng.
Affiliation
  • Evans T; Department of Mathematics, Dartmouth College, 27 North Main Street, 6188 Kemeny Hall, Hanover, NH 03755, USA.
  • Fu F; Department of Mathematics, Dartmouth College, 27 North Main Street, 6188 Kemeny Hall, Hanover, NH 03755, USA.
R Soc Open Sci ; 5(10): 181122, 2018 Oct.
Article in En | MEDLINE | ID: mdl-30473855
Modern political interaction is characterized by strong partisanship and a lack of interest in information sharing and agreement across party lines. It remains largely unclear how such partisan echo chambers arise and how they coevolve with opinion formation. Here, we explore the emergence of these structures through the lens of coevolutionary games. In our model, the payoff of an individual is determined jointly by the magnitude of their opinion, their degree of conformity with their social neighbours and the benefit of having social connections. Each individual can simultaneously adjust their opinion and the weights of their social connections. We present and validate the conditions for the emergence of partisan echo chambers, characterizing the transition from cohesive communities with a consensus to divisive networks with splitting opinions. Moreover, we apply our model to voting records of the US House of Representatives over a timespan of decades to understand the influence of underlying psychological and social factors on increasing partisanship in recent years. Our work helps elucidate how the division of today has come to be and how cohesion and unity could otherwise be attained on a variety of political and social issues.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Aspects: Equity_inequality Language: En Journal: R Soc Open Sci Year: 2018 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Aspects: Equity_inequality Language: En Journal: R Soc Open Sci Year: 2018 Document type: Article Affiliation country: United States Country of publication: United kingdom