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A study on users’ preference towards diabetes-related video clips on YouTube
BACKGROUND: Social media has arisen to be a new and important channel for information users for seeking and creating user-generated content. For health consumers, social media has long been regarded and employed as an important source to find health-related information and emotional support. This st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048121/ https://www.ncbi.nlm.nih.gov/pubmed/32111208 http://dx.doi.org/10.1186/s12911-020-1035-1 |
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author | Zhang, Jin Zheng, Zhong Wang, Yanyan Zhu, Yifan |
author_facet | Zhang, Jin Zheng, Zhong Wang, Yanyan Zhu, Yifan |
author_sort | Zhang, Jin |
collection | PubMed |
description | BACKGROUND: Social media has arisen to be a new and important channel for information users for seeking and creating user-generated content. For health consumers, social media has long been regarded and employed as an important source to find health-related information and emotional support. This study investigated the characteristics of diabetes-related videos posted on YouTube, one of the most popular video-based social media platforms, and explored the factors influencing users’ preference towards the investigated videos. METHODS: A mixed research method including coding and negative binomial regression test was applied. Coding was utilized to identify the status of the diabetes-related video clips and the factors related to users’ attitude to them. Negative binomial regression approach was employed to detect significant relationships among the factors and users’ attitude. RESULTS: The researchers selected eight factors (e.g. number of views, post period, presenters’ gender, and subject) to represent the characteristics of the diabetes-related video clips. Eleven subjects were identified by examining the diabetes-related videos and three subjects, Treatment, Sign & Symptom, and Social & Culture, appeared the most frequently. Media type, presentation setting, post period, presenter role, and presenters’ gender affect the users’ positive attitude significantly. Post period, presenter role, and the Sign & Symptom subject and the Nutrient subject have significant influence on the users’ negative attitude. CONCLUSIONS: Treatment, Sign & Symptom, and Social & Culture are the most popular subjects of the investigated video clips. The users are less likely to show their attitude to old videos. They prefer journalists and patients on videos but dislike male presenters compared with other presenters, and show more negative attitude towards the videos about nutrients. The findings of this study can be used to enhance the content creation of diabetes-related video clips for video contributors, the design and organization of the diabetes-related content for multimedia-based social media Website designers, and the information seeking and communication among health information users. |
format | Online Article Text |
id | pubmed-7048121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70481212020-03-05 A study on users’ preference towards diabetes-related video clips on YouTube Zhang, Jin Zheng, Zhong Wang, Yanyan Zhu, Yifan BMC Med Inform Decis Mak Research Article BACKGROUND: Social media has arisen to be a new and important channel for information users for seeking and creating user-generated content. For health consumers, social media has long been regarded and employed as an important source to find health-related information and emotional support. This study investigated the characteristics of diabetes-related videos posted on YouTube, one of the most popular video-based social media platforms, and explored the factors influencing users’ preference towards the investigated videos. METHODS: A mixed research method including coding and negative binomial regression test was applied. Coding was utilized to identify the status of the diabetes-related video clips and the factors related to users’ attitude to them. Negative binomial regression approach was employed to detect significant relationships among the factors and users’ attitude. RESULTS: The researchers selected eight factors (e.g. number of views, post period, presenters’ gender, and subject) to represent the characteristics of the diabetes-related video clips. Eleven subjects were identified by examining the diabetes-related videos and three subjects, Treatment, Sign & Symptom, and Social & Culture, appeared the most frequently. Media type, presentation setting, post period, presenter role, and presenters’ gender affect the users’ positive attitude significantly. Post period, presenter role, and the Sign & Symptom subject and the Nutrient subject have significant influence on the users’ negative attitude. CONCLUSIONS: Treatment, Sign & Symptom, and Social & Culture are the most popular subjects of the investigated video clips. The users are less likely to show their attitude to old videos. They prefer journalists and patients on videos but dislike male presenters compared with other presenters, and show more negative attitude towards the videos about nutrients. The findings of this study can be used to enhance the content creation of diabetes-related video clips for video contributors, the design and organization of the diabetes-related content for multimedia-based social media Website designers, and the information seeking and communication among health information users. BioMed Central 2020-02-28 /pmc/articles/PMC7048121/ /pubmed/32111208 http://dx.doi.org/10.1186/s12911-020-1035-1 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhang, Jin Zheng, Zhong Wang, Yanyan Zhu, Yifan A study on users’ preference towards diabetes-related video clips on YouTube |
title | A study on users’ preference towards diabetes-related video clips on YouTube |
title_full | A study on users’ preference towards diabetes-related video clips on YouTube |
title_fullStr | A study on users’ preference towards diabetes-related video clips on YouTube |
title_full_unstemmed | A study on users’ preference towards diabetes-related video clips on YouTube |
title_short | A study on users’ preference towards diabetes-related video clips on YouTube |
title_sort | study on users’ preference towards diabetes-related video clips on youtube |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048121/ https://www.ncbi.nlm.nih.gov/pubmed/32111208 http://dx.doi.org/10.1186/s12911-020-1035-1 |
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