Title
Insight Data of YouTube from a Partner's View
Abstract
YouTube is arguably the most popular online videos sharing site nowadays. To further augment its service with better revenue, it has started working with content owners (known as YouTube partners) whose copyrighted videos and channels have pulled massive audience. By uploading high-quality premium videos, the partners have essentially changed the user-generated content feature of YouTube and further increased YouTube's popularity. Understanding the latest YouTube access pattern is thus crucial to both YouTube and its partners, as well as to other providers of relevant services. In this paper, we for the first time analyze a large-scale YouTube dataset from a partner's view. We make effective use of Insight, a new analytics service of YouTube that offers inside statistics for partners about their content accesses and audience behaviours. From the raw Insight data that are confined to simple scalars and charts, we reveal the inherent relationship among the various metrics that affect the popularity of the videos. Our findings facilitate YouTube partners to adapt their content deployment and user engagement strategies, having great potentials for them to collaborate with YouTube to generate more views and subsequently increasing their revenues.
Year
DOI
Venue
2014
10.1145/2578260.2578274
NOSSDAV
Keywords
Field
DocType
content owner,insight data,content deployment,audience behaviour,latest youtube access pattern,content access,youtube partner,new analytics service,massive audience,large-scale youtube dataset,user-generated content feature
Revenue,Internet privacy,World Wide Web,Software deployment,Computer science,Upload,User engagement,Popularity,Analytics
Conference
ISBN
Citations 
PageRank 
978-1-4503-2706-0
3
0.56
References 
Authors
7
6
Name
Order
Citations
PageRank
Xu Cheng133021.21
Mehrdad Fatourechi216911.96
Xiaoqiang Ma333029.44
Cong Zhang4233.44
Lei Zhang5594.89
Jiangchuan Liu64340310.86