Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data

被引：686

作者：

Colleoni, Elanor ^{[1
,2
]}

Rozza, Alessandro ^{[3
]}

Arvidsson, Adam ^{[1
,2
]}

机构：

[1] Univ Milan, Dept Social & Polit Sci, Milan, Italy

[2] Univ Milan, Ctr Digital Ethnog, Milan, Italy

[3] Univ Naples Parthenope, Dept Sci & Technol, Naples, Italy

来源：

JOURNAL OF COMMUNICATION | 2014年 / 64卷 / 02期

基金：

欧盟地平线“2020”;

关键词：

DIFFERENCE; COMMUNICATION; HETEROGENEITY; NETWORKS; INTERNET; ONLINE;

D O I：

10.1111/jcom.12084

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

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 homophily on the Internet should take the political culture and practices of users seriously.

引用

页码：317 / 332

页数：16