Rumor detection on social media using hierarchically aggregated feature via graph neural networks

In the era of the Internet and big data, online social media platforms have been developing rapidly, which accelerate rumors circulation. Rumor detection on social media is a worldwide challenging task due to rumor’s feature of high speed, fragmental information and extensive range. Most existing ap...

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Detalles Bibliográficos
Autores principales: Xu, Shouzhi, Liu, Xiaodi, Ma, Kai, Dong, Fangmin, Riskhan, Basheer, Xiang, Shunzhi, Bing, Changsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122810/
https://www.ncbi.nlm.nih.gov/pubmed/35615261
http://dx.doi.org/10.1007/s10489-022-03592-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122810/
https://www.ncbi.nlm.nih.gov/pubmed/35615261
http://dx.doi.org/10.1007/s10489-022-03592-3

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