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A network-based positive and unlabeled learning approach for fake news detection
Fake news can rapidly spread through internet users and can deceive a large audience. Due to those characteristics, they can have a direct impact on political and economic events. Machine Learning approaches have been used to assist fake news identification. However, since the spectrum of real news...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601374/ https://www.ncbi.nlm.nih.gov/pubmed/34815619 http://dx.doi.org/10.1007/s10994-021-06111-6 |