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A dataset on social media users’ engagement with religious misinformation
This dataset comprises Facebook data on five cases of religious misinformation in Bangladesh. To the best of our knowledge, it is the first publicly accessible dataset on Facebook-based religious misinformation in the country, featuring 7350 comments contributed by unique users. As online religious...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405184/ https://www.ncbi.nlm.nih.gov/pubmed/37554994 http://dx.doi.org/10.1016/j.dib.2023.109439 |
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author | Al-Zaman, Md. Sayeed Noman, Mridha Md. Shiblee |
author_facet | Al-Zaman, Md. Sayeed Noman, Mridha Md. Shiblee |
author_sort | Al-Zaman, Md. Sayeed |
collection | PubMed |
description | This dataset comprises Facebook data on five cases of religious misinformation in Bangladesh. To the best of our knowledge, it is the first publicly accessible dataset on Facebook-based religious misinformation in the country, featuring 7350 comments contributed by unique users. As online religious misinformation has been implicated in causing interreligious violence and tension in Bangladesh, this dataset can offer crucial insights into how social media is being exploited to foment such events. It may also help advance policy reform and activism to protect human rights and prevent the spread of religious misinformation. |
format | Online Article Text |
id | pubmed-10405184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104051842023-08-08 A dataset on social media users’ engagement with religious misinformation Al-Zaman, Md. Sayeed Noman, Mridha Md. Shiblee Data Brief Data Article This dataset comprises Facebook data on five cases of religious misinformation in Bangladesh. To the best of our knowledge, it is the first publicly accessible dataset on Facebook-based religious misinformation in the country, featuring 7350 comments contributed by unique users. As online religious misinformation has been implicated in causing interreligious violence and tension in Bangladesh, this dataset can offer crucial insights into how social media is being exploited to foment such events. It may also help advance policy reform and activism to protect human rights and prevent the spread of religious misinformation. Elsevier 2023-07-22 /pmc/articles/PMC10405184/ /pubmed/37554994 http://dx.doi.org/10.1016/j.dib.2023.109439 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Al-Zaman, Md. Sayeed Noman, Mridha Md. Shiblee A dataset on social media users’ engagement with religious misinformation |
title | A dataset on social media users’ engagement with religious misinformation |
title_full | A dataset on social media users’ engagement with religious misinformation |
title_fullStr | A dataset on social media users’ engagement with religious misinformation |
title_full_unstemmed | A dataset on social media users’ engagement with religious misinformation |
title_short | A dataset on social media users’ engagement with religious misinformation |
title_sort | dataset on social media users’ engagement with religious misinformation |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405184/ https://www.ncbi.nlm.nih.gov/pubmed/37554994 http://dx.doi.org/10.1016/j.dib.2023.109439 |
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