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YouTube 上糖尿病相关视频剪辑用户偏好的研究。

A study on users' preference towards diabetes-related video clips on YouTube.

机构信息

School of Information Studies, University of Wisconsin Milwaukee, Milwaukee, WI, USA.

School of Information Management, Sun Yat-sen University, Guangzhou, People's Republic of China.

出版信息

BMC Med Inform Decis Mak. 2020 Feb 28;20(1):43. doi: 10.1186/s12911-020-1035-1.

DOI:10.1186/s12911-020-1035-1
PMID:32111208
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7048121/
Abstract

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.

摘要

背景

社交媒体已成为用户获取和创造用户生成内容的新的重要渠道。对于健康消费者而言,社交媒体长期以来一直被视为寻找与健康相关信息和情感支持的重要来源。本研究调查了 YouTube 上发布的与糖尿病相关的视频的特点,并探讨了影响用户对所调查视频偏好的因素。

方法

采用混合研究方法,包括编码和负二项回归检验。编码用于识别糖尿病相关视频剪辑的状态以及与用户态度相关的因素。负二项回归方法用于检测因素与用户态度之间的显著关系。

结果

研究人员选择了 8 个因素(例如,观看次数、发布时间、演讲者的性别和主题)来代表糖尿病相关视频剪辑的特征。通过检查与糖尿病相关的视频,确定了 11 个主题,其中“治疗”“症状和体征”和“社会和文化”出现的频率最高。媒体类型、演示设置、发布时间、演讲者角色和演讲者的性别对用户的积极态度有显著影响。发布时间、演讲者角色、“症状和体征”主题以及“营养”主题对用户的消极态度有显著影响。

结论

“治疗”“症状和体征”和“社会和文化”是调查视频剪辑中最受欢迎的主题。用户不太可能对旧视频表现出态度。他们更喜欢视频中的记者和患者,而不喜欢其他演讲者中的男性演讲者,并且对关于营养的视频表现出更消极的态度。本研究的结果可用于增强视频贡献者制作与糖尿病相关的视频剪辑的内容、多媒体社交媒体网站设计者设计和组织与糖尿病相关的内容,以及健康信息用户之间的信息搜索和交流。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/56f4c40a6945/12911_2020_1035_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/463adfd87879/12911_2020_1035_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/a22e54764722/12911_2020_1035_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/cc94f0307b82/12911_2020_1035_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/e41fa778576d/12911_2020_1035_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/56f4c40a6945/12911_2020_1035_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/463adfd87879/12911_2020_1035_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/a22e54764722/12911_2020_1035_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/cc94f0307b82/12911_2020_1035_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/e41fa778576d/12911_2020_1035_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee75/7048121/56f4c40a6945/12911_2020_1035_Fig5_HTML.jpg

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