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Fake news spreader detection using trust-based strategies in social networks with bot filtration
An important aspect of preventing fake news spreading in social networks is to proactively detect the users that are likely going to spread such news. Research in the domain of spreader detection is at a nascent stage compared to fake news detection. In this paper, we propose a graph neural network-...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244065/ https://www.ncbi.nlm.nih.gov/pubmed/35789888 http://dx.doi.org/10.1007/s13278-022-00890-z |