Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter
Social and Information Networks
2021-12-02 v1 Computers and Society
Adaptation and Self-Organizing Systems
Abstract
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.
Cite
@article{arxiv.2112.00554,
title = {Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter},
author = {Camille Roth and Jonathan St-Onge and Katrin Herms},
journal= {arXiv preprint arXiv:2112.00554},
year = {2021}
}
Comments
Proc. Complex Networks'21, 10th International Conference on Complex Networks and their Applications