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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2021
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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 |
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author | Al Feel, Roaa |
author_facet | Al Feel, Roaa |
author_sort | Al Feel, Roaa |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8672188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86721882021-12-22 Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel Al Feel, Roaa Patterns (N Y) People of Data 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. Elsevier 2021-12-10 /pmc/articles/PMC8672188/ /pubmed/34950909 http://dx.doi.org/10.1016/j.patter.2021.100394 Text en © 2021 The Author https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | People of Data Al Feel, Roaa Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel |
title | Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel |
title_full | Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel |
title_fullStr | Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel |
title_full_unstemmed | Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel |
title_short | Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel |
title_sort | meta-learning for fake news detection surrounding the syrian war: an interview with co-author roaa al feel |
topic | People of Data |
url | 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 |
work_keys_str_mv | AT alfeelroaa metalearningforfakenewsdetectionsurroundingthesyrianwaraninterviewwithcoauthorroaaalfeel |