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Dataset on Online mass media engagements on YouTube for terrorism related discussions
The data examined 150 mass media YouTube videos on Al-Shahab, Boko Haram and IS terrorist groups from 2014 to 2016 to ascertain the kind of discussions about terrorist groups online. The discussions were categorized into 13 sub-topics namely; reactiveness to terrorist, fight against terrorist, gover...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659103/ https://www.ncbi.nlm.nih.gov/pubmed/31372376 http://dx.doi.org/10.1016/j.dib.2018.12.020 |
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author | Kayode-Adedeji, Tolulope Oyero, Olusola Aririguzoh, Stella |
author_facet | Kayode-Adedeji, Tolulope Oyero, Olusola Aririguzoh, Stella |
author_sort | Kayode-Adedeji, Tolulope |
collection | PubMed |
description | The data examined 150 mass media YouTube videos on Al-Shahab, Boko Haram and IS terrorist groups from 2014 to 2016 to ascertain the kind of discussions about terrorist groups online. The discussions were categorized into 13 sub-topics namely; reactiveness to terrorist, fight against terrorist, government proactiveness against terrorism, advocacy for anti-terrorism, claims of attack by terrorists, threats by terrorists, recruitment by terrorists, prevalence of attacks by terrorists, condemnation of terrorist attacks, mockery of terrorism, accusation of government as ineffective, sex-slave by terrorists and victory by terrorists. Charts and tables were used to present data on discussion on the 3 above mention terrorist groups. |
format | Online Article Text |
id | pubmed-6659103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66591032019-08-01 Dataset on Online mass media engagements on YouTube for terrorism related discussions Kayode-Adedeji, Tolulope Oyero, Olusola Aririguzoh, Stella Data Brief Social Science The data examined 150 mass media YouTube videos on Al-Shahab, Boko Haram and IS terrorist groups from 2014 to 2016 to ascertain the kind of discussions about terrorist groups online. The discussions were categorized into 13 sub-topics namely; reactiveness to terrorist, fight against terrorist, government proactiveness against terrorism, advocacy for anti-terrorism, claims of attack by terrorists, threats by terrorists, recruitment by terrorists, prevalence of attacks by terrorists, condemnation of terrorist attacks, mockery of terrorism, accusation of government as ineffective, sex-slave by terrorists and victory by terrorists. Charts and tables were used to present data on discussion on the 3 above mention terrorist groups. Elsevier 2019-01-18 /pmc/articles/PMC6659103/ /pubmed/31372376 http://dx.doi.org/10.1016/j.dib.2018.12.020 Text en © 2019 The Authors http://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 | Social Science Kayode-Adedeji, Tolulope Oyero, Olusola Aririguzoh, Stella Dataset on Online mass media engagements on YouTube for terrorism related discussions |
title | Dataset on Online mass media engagements on YouTube for terrorism related discussions |
title_full | Dataset on Online mass media engagements on YouTube for terrorism related discussions |
title_fullStr | Dataset on Online mass media engagements on YouTube for terrorism related discussions |
title_full_unstemmed | Dataset on Online mass media engagements on YouTube for terrorism related discussions |
title_short | Dataset on Online mass media engagements on YouTube for terrorism related discussions |
title_sort | dataset on online mass media engagements on youtube for terrorism related discussions |
topic | Social Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6659103/ https://www.ncbi.nlm.nih.gov/pubmed/31372376 http://dx.doi.org/10.1016/j.dib.2018.12.020 |
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