Echo Chamber or Public Sphere? Predicting political orientation and measuring political homophily in Twitter using big data
Articolo
Data di Pubblicazione:
2014
Citazione:
Echo Chamber or Public Sphere? Predicting political orientation and measuring political homophily in Twitter using big data / E. Colleoni, A. Rozza, A. Arvidsson. - In: JOURNAL OF COMMUNICATION. - ISSN 0021-9916. - 64:2(2014), pp. 317-332. [10.1111/jcom.12084]
Abstract:
This paper investigates political homophily on Twitter. Using a combination of machine
learning and social network analysis we classify users as Democrats or as Republicans based
on the political content shared. We then investigate political homophily both in the network
of reciprocated and nonreciprocated ties. We find that structures of political homophily differ
strongly between Democrats and Republicans. In general, Democrats exhibit higher levels
of political homophily. But Republicans who follow official Republican accounts exhibit
higher levels of homophily than Democrats. In addition, levels of homophily are higher
in the network of reciprocated followers than in the nonreciprocated network. We suggest
that research on political hom.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
social networks; difference; communication; heterogeneity; polarization; exposure; internet; online
Elenco autori:
E. Colleoni, A. Rozza, A. Arvidsson
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