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This study aims to understand the dynamics of polarization and how news outlets influenced political discussions on Twitter during the 2018 Brazilian presidential campaign. We analyze four datasets using social network analysis. Our main finding is the identification of an asymmetric polarization.
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Stored only when both papers are in the corpus — 38 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.