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Online news media sites are presently the primary sources of news for a large number of users world-wide.The content published by media sites have high temporal churn as they tend to focus on recommending recent / breaking news.Analyzing data from a popular online mass media site nytimes.comas well as a popular online social media site twitter.com,we show that the resulting churn in popular content can lead to temporal coverage biases in the stories that are consumed by a user, based on the time of the day when the user accesses the media sites.
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Stored only when both papers are in the corpus — 20 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.