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Fighting misinformation on social media using crowdsourced judgments of news source quality
Reducing the spread of misinformation, especially on social media, is a major challenge. We investigate one potential approach: having social media platform algorithms preferentially display content from news sources that users rate as trustworthy. To do so, we ask whether crowdsourced trust ratings...
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| Veröffentlicht in: | Proc Natl Acad Sci U S A |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6377495/ https://ncbi.nlm.nih.gov/pubmed/30692252 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1806781116 |
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