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Measuring the impact of social drive across social media forums: a case study of COVID-19
Users considered Social media forums like Facebook, Twitter and blogs as the most prominent social networks in the present age, where users share their views quickly in words and respond to feedback from other users within no time. This study aims to: measure the impact of influencing factors on a p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853001/ https://www.ncbi.nlm.nih.gov/pubmed/35194382 http://dx.doi.org/10.1007/s11042-022-12262-y |
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author | Baniata, Mahmoud Oglah Al Hasan Asghar, Sohail |
author_facet | Baniata, Mahmoud Oglah Al Hasan Asghar, Sohail |
author_sort | Baniata, Mahmoud Oglah Al Hasan |
collection | PubMed |
description | Users considered Social media forums like Facebook, Twitter and blogs as the most prominent social networks in the present age, where users share their views quickly in words and respond to feedback from other users within no time. This study aims to: measure the impact of influencing factors on a particular community when social media forums promote it using a machine learning model. In this research work, we performed an association rule-based method to measure the impact of COVID-19 influencing factors on adolescence when they promoted it on social media. The proposed method gave a remarkable output when we compared it with the different existing approaches. It works well in all respective fields we observed. Last but not least, when compared with survey and official results, the proposed method predicts well, and the obtained results are pretty promising. |
format | Online Article Text |
id | pubmed-8853001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88530012022-02-18 Measuring the impact of social drive across social media forums: a case study of COVID-19 Baniata, Mahmoud Oglah Al Hasan Asghar, Sohail Multimed Tools Appl Article Users considered Social media forums like Facebook, Twitter and blogs as the most prominent social networks in the present age, where users share their views quickly in words and respond to feedback from other users within no time. This study aims to: measure the impact of influencing factors on a particular community when social media forums promote it using a machine learning model. In this research work, we performed an association rule-based method to measure the impact of COVID-19 influencing factors on adolescence when they promoted it on social media. The proposed method gave a remarkable output when we compared it with the different existing approaches. It works well in all respective fields we observed. Last but not least, when compared with survey and official results, the proposed method predicts well, and the obtained results are pretty promising. Springer US 2022-02-16 2022 /pmc/articles/PMC8853001/ /pubmed/35194382 http://dx.doi.org/10.1007/s11042-022-12262-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 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 | Article Baniata, Mahmoud Oglah Al Hasan Asghar, Sohail Measuring the impact of social drive across social media forums: a case study of COVID-19 |
title | Measuring the impact of social drive across social media forums: a case study of COVID-19 |
title_full | Measuring the impact of social drive across social media forums: a case study of COVID-19 |
title_fullStr | Measuring the impact of social drive across social media forums: a case study of COVID-19 |
title_full_unstemmed | Measuring the impact of social drive across social media forums: a case study of COVID-19 |
title_short | Measuring the impact of social drive across social media forums: a case study of COVID-19 |
title_sort | measuring the impact of social drive across social media forums: a case study of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853001/ https://www.ncbi.nlm.nih.gov/pubmed/35194382 http://dx.doi.org/10.1007/s11042-022-12262-y |
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