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Rumor detection in social network based on user, content and lexical features
Emergence in the social network leads to the extensive and faster diffusion of news than conventional news channels. Verification of data is challenging due to massive information on a social network. Unverified information can be a rumor or fake news that causes damage to an individuals and organiz...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898597/ https://www.ncbi.nlm.nih.gov/pubmed/35282405 http://dx.doi.org/10.1007/s11042-022-12761-y |