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Abstract Recently, new electronic technologies have supplemented older mechanisms of communication between members of Congress and their constituents. These technologies have enhanced members' options for communication, both with constituents and other interested parties. This research examines member use of one specific electronic communication medium: Twitter. Using original data to examine patterns of use, two models predict the probability of a member adopting Twitter based on political, personal, and district-level variables.
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Stored only when both papers are in the corpus — 105 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.