Predicting Controversial News Using Facebook Reactions
Different events and their reception in different reader communities may give rise to controversy. We propose a distant supervised entropy-based model that uses Facebook reactions as proxies for predicting news controversy. We prove the validity of this approach by running within- and across-source...
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| Huvudupphov: | , , |
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| Materialtyp: | Chapter |
| Språk: | Inglês |
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Accademia University Press
2017
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| Länkar: | https://doi.org/10.4000/books.aaccademia.2370 https://hdl.handle.net/20.500.13089/1d7s https://books.openedition.org/aaccademia/2370 |
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