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The national network of US state legislators on Twitter

Bibliographic Data

ID6342012
AuthorsIshita Gopal (Washington University in St. Louis), Taegyoon Kim (0000-0003-1230-774X, Korea Advanced Institute of Science and Technology, corresponding author), Nitheesha Nakka (0000-0001-9391-3631, Pennsylvania State University), Frederick J Boehmke (0000-0003-3309-0885, University of Iowa), Jeffrey J Harden (0000-0001-5337-7918, University of Notre Dame), Bruce Desmarais (0000-0002-3031-8883, Pennsylvania State University)
Year2025
Volume13
Issue4
Pages1042-1054
Publication date2025-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Science Research and Methods (JOURNAL)
Journal identifiersISSN: 2049-8470 • E-ISSN: 2049-8489
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/psrm.2024.52
OpenAlexW4403469348
LanguageEN
References cited35

Networks among legislators shape politics and policymaking within legislative institutions. In past work on legislative networks, the ties between legislators have been defined on those who serve in the same legislature or chamber. Online information networks, which have been found to play important roles in legislative communication at the national level, are not bounded by individual legislative bodies. We collect original data for over four thousand US state legislators and study patterns of connection among them on Twitter. We look at three types of Twitter networks—follower, retweets, and mentions. We describe these networks and estimate the relationships between ties and salient attributes of legislators. We find that networks are organized largely along geographic and partisan lines and that identity attributes—namely gender and race—exhibit strong associations with the formation of ties

Algorithm · Political science · State (computer science · Computer Science · Hate Speech and Cyberbullying Detection · Political Influence and Corporate Strategies · Public Administration · Social Media and Politics

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