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MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn
Fake news spreading is strongly connected with the human involvement as individuals tend to fall, adopt and circulate misinformation stories. Until recently, the role of human characteristics in fake news diffusion, in order to deeply understand and fight misinformation patterns, has not been explor...
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/PMC8747866/ http://dx.doi.org/10.1007/s00607-021-01013-w |
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author | Lampridis, Orestis Karanatsiou, Dimitra Vakali, Athena |
author_facet | Lampridis, Orestis Karanatsiou, Dimitra Vakali, Athena |
author_sort | Lampridis, Orestis |
collection | PubMed |
description | Fake news spreading is strongly connected with the human involvement as individuals tend to fall, adopt and circulate misinformation stories. Until recently, the role of human characteristics in fake news diffusion, in order to deeply understand and fight misinformation patterns, has not been explored to the full extent. This paper suggests a human-centric approach on detecting fake news spreading behavior by building an explainable fake-news-spreader classifier based on psychological and behavioral cues of individuals. Our model achieves promising classification results while offering explanations of human motives and features behind fake news spreading behavior. Moreover, to the best of our knowledge, this is the first study that aims at providing a fully explainable setup that evaluates fake news spreading based on users credibility applied to public discussions aiming to a comprehensive way to combat fake news through human involvement. |
format | Online Article Text |
id | pubmed-8747866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-87478662022-01-11 MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn Lampridis, Orestis Karanatsiou, Dimitra Vakali, Athena Computing Special Issue Article Fake news spreading is strongly connected with the human involvement as individuals tend to fall, adopt and circulate misinformation stories. Until recently, the role of human characteristics in fake news diffusion, in order to deeply understand and fight misinformation patterns, has not been explored to the full extent. This paper suggests a human-centric approach on detecting fake news spreading behavior by building an explainable fake-news-spreader classifier based on psychological and behavioral cues of individuals. Our model achieves promising classification results while offering explanations of human motives and features behind fake news spreading behavior. Moreover, to the best of our knowledge, this is the first study that aims at providing a fully explainable setup that evaluates fake news spreading based on users credibility applied to public discussions aiming to a comprehensive way to combat fake news through human involvement. Springer Vienna 2022-01-11 2022 /pmc/articles/PMC8747866/ http://dx.doi.org/10.1007/s00607-021-01013-w Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Special Issue Article Lampridis, Orestis Karanatsiou, Dimitra Vakali, Athena MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn |
title | MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn |
title_full | MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn |
title_fullStr | MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn |
title_full_unstemmed | MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn |
title_short | MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn |
title_sort | manifesto: a human-centric explainable approach for fake news spreaders detection |
topic | Special Issue Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747866/ http://dx.doi.org/10.1007/s00607-021-01013-w |
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