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Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel

Roaa Al Feel, an early-career researcher, discusses her passion for using data science for social good. She uses data to reflect living conditions of society, and in the paper published with Patterns in November, the team explores machine learning techniques for the detection of fake news around the...

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Detalles Bibliográficos
Autor principal: Al Feel, Roaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672188/
https://www.ncbi.nlm.nih.gov/pubmed/34950909
http://dx.doi.org/10.1016/j.patter.2021.100394
Descripción
Sumario:Roaa Al Feel, an early-career researcher, discusses her passion for using data science for social good. She uses data to reflect living conditions of society, and in the paper published with Patterns in November, the team explores machine learning techniques for the detection of fake news around the Syrian war, demonstrating the efficacy of meta-learning techniques when tackling datasets of a modest size.