Article ID Journal Published Year Pages File Type
7538329 Social Networks 2018 11 Pages PDF
Abstract
Research into polarisation on the internet has so far primarily focused on contentious issues and yielded contradictory results. Shifting the focus to a non-contentious setting, this article combines community detection with brokerage analysis and exponential random graph models to assess the degree of polarisation at different levels of a German hyperlink network on climate change. Although homophily accounts for a moderate degree of polarisation at the top level of the network, the communities reveal that other factors prove more decisive in shaping its structure and the article thus contributes to a more refined understanding of the nature of online polarisation.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Authors
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