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Found 2 papers, 1 papers with code
Recommending research articles to consumers of online vaccination information
Online health communications often provide biased interpretations of evidence and have unreliable links to the source research.
Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations
Background: Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that use sentiment to detect localized events for public health applications.
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