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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Published in:arXiv.org 2021-12
Main Authors: Roth, Camille, St-Onge, Jonathan, Herms, Katrin
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Cross cutting
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St-Onge, Jonathan
Herms, Katrin
description 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.
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title Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter
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