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Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics
Since its inception, YouTube has been a source of entertainment and education. Everyday millions of videos are uploaded to this platform. Researchers have been using YouTube as a source of information in their research. However, there is a lack of bibliometric reports on research carried out on this...
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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/PMC9483504/ https://www.ncbi.nlm.nih.gov/pubmed/36157354 http://dx.doi.org/10.1007/s11042-022-13908-7 |
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author | Mostafa, Mohamed M. Feizollah, Ali Anuar, Nor Badrul |
author_facet | Mostafa, Mohamed M. Feizollah, Ali Anuar, Nor Badrul |
author_sort | Mostafa, Mohamed M. |
collection | PubMed |
description | Since its inception, YouTube has been a source of entertainment and education. Everyday millions of videos are uploaded to this platform. Researchers have been using YouTube as a source of information in their research. However, there is a lack of bibliometric reports on research carried out on this platform and the pattern in the published works. This study aims at providing a bibliometric analysis on YouTube as a source of information to fill this gap. Specifically, this paper analyzes 1781 articles collected from the Scopus database spanning fifteen years. The analysis revealed that 2006-2007 were initial stage in YouTube research followed by 2008 -2017 which is the decade of rapid growth in YouTube research. The 2017 -2021 is considered the stage of consolidation and stabilization of this research topic. We also discovered that most relevant papers were published in small number of journals such as New Media and Society, Convergence, Journal of Medical Internet Research, Computers in Human Behaviour and the Physics Teacher, which proves the Bradford’s law. USA, Turkey, and UK are the countries with the highest number of publications. We also present network analysis between countries, sources, and authors. Analyzing the keywords resulted in finding the trend in research such as “video sharing” (2010-2018), “web -based learning” (2012-2014), and “COVID -19” (2020 onward). Finally, we used Multiple Correspondence Analysis (MCA) to find the conceptual clusters of research on YouTube. The first cluster is related to user -generated content. The second cluster is about health and medical issues, and the final cluster is on the topic of information quality. |
format | Online Article Text |
id | pubmed-9483504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-94835042022-09-19 Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics Mostafa, Mohamed M. Feizollah, Ali Anuar, Nor Badrul Multimed Tools Appl Article Since its inception, YouTube has been a source of entertainment and education. Everyday millions of videos are uploaded to this platform. Researchers have been using YouTube as a source of information in their research. However, there is a lack of bibliometric reports on research carried out on this platform and the pattern in the published works. This study aims at providing a bibliometric analysis on YouTube as a source of information to fill this gap. Specifically, this paper analyzes 1781 articles collected from the Scopus database spanning fifteen years. The analysis revealed that 2006-2007 were initial stage in YouTube research followed by 2008 -2017 which is the decade of rapid growth in YouTube research. The 2017 -2021 is considered the stage of consolidation and stabilization of this research topic. We also discovered that most relevant papers were published in small number of journals such as New Media and Society, Convergence, Journal of Medical Internet Research, Computers in Human Behaviour and the Physics Teacher, which proves the Bradford’s law. USA, Turkey, and UK are the countries with the highest number of publications. We also present network analysis between countries, sources, and authors. Analyzing the keywords resulted in finding the trend in research such as “video sharing” (2010-2018), “web -based learning” (2012-2014), and “COVID -19” (2020 onward). Finally, we used Multiple Correspondence Analysis (MCA) to find the conceptual clusters of research on YouTube. The first cluster is related to user -generated content. The second cluster is about health and medical issues, and the final cluster is on the topic of information quality. Springer US 2022-09-19 2023 /pmc/articles/PMC9483504/ /pubmed/36157354 http://dx.doi.org/10.1007/s11042-022-13908-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 Mostafa, Mohamed M. Feizollah, Ali Anuar, Nor Badrul Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics |
title | Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics |
title_full | Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics |
title_fullStr | Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics |
title_full_unstemmed | Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics |
title_short | Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics |
title_sort | fifteen years of youtube scholarly research: knowledge structure, collaborative networks, and trending topics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483504/ https://www.ncbi.nlm.nih.gov/pubmed/36157354 http://dx.doi.org/10.1007/s11042-022-13908-7 |
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