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Adaptive cost-sensitive stance classification model for rumor detection in social networks
As online social networks are experiencing extreme popularity growth, determining the veracity of online statements denoted by rumors automatically as earliest as possible is essential to prevent the harmful effects of propagating misinformation. Early detection of rumors is facilitated by consideri...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461462/ https://www.ncbi.nlm.nih.gov/pubmed/36105920 http://dx.doi.org/10.1007/s13278-022-00952-2 |