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 follower ties, and by further contrasting interaction and affiliation on Twitter (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.
CITATION STYLE
Roth, C., St-Onge, J., & Herms, K. (2022). Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter. In Studies in Computational Intelligence (Vol. 1015, pp. 705–717). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-93409-5_58
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