Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter

Interaction networks are generally much less homophilic than affiliation networks, accommodating for many more cross-cutting links. By statistically assigning a political valence to users from their network-level affiliation patterns, and by further contrasting interaction and affiliation (quotes an...

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Bibliographic Details
Published in:arXiv.org 2021-12
Main Authors: Roth, Camille, St-Onge, Jonathan, Herms, Katrin
Format: Article
Language:English
Subjects:
Cross cutting
Online Access:Get full text
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Summary:Interaction networks are generally much less homophilic than affiliation networks, accommodating for many more cross-cutting links. By statistically assigning a political valence to users from their network-level affiliation patterns, and by further contrasting interaction and affiliation (quotes and retweets) within specific discursive events, namely quote trees, we describe a variety of cross-cutting patterns which significantly nuance the traditional "echo chamber" narrative.
ISSN:2331-8422