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Although a growing body of literature examines exposure to social, news, and political information via social media, we have little understanding of how users delineate these categories. In this study, we develop over 100 discrete Facebook stimuli varying these topics, and then test to what extent and which users match our definition of those posts. Our results suggest that users and researchers often agree on defining social and political content, but are more likely to disagree on categorizing news content. Therefore, researchers should carefully define all concepts—especially news—when considering prevalence and effects on social media users.
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Stored only when both papers are in the corpus — 57 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.