DocumentCode
35417
Title
Understanding the YouTube partners and their data: Measurement and analysis
Author
Xu Cheng ; Mehrdad, Fatourechi ; Xiaoqiang Ma ; Cong Zhang ; Jiangchuan Liu
Author_Institution
BroadbandTV Corp., Vancouver, BC, Canada
Volume
11
Issue
12
fYear
2014
fDate
Dec. 2014
Firstpage
26
Lastpage
34
Abstract
User generated content, e.g., from YouTube, the most popular online video sharing site, is one of the major sources of today´s big data and it is crucial to understand their inherent characteristics. Recently, YouTube has started working with content providers (known as YouTube partners) to promote the users´ watching and sharing activities. The substantial benefit is to further augment its service and monetize more videos, which is crucial to both YouTube and its partners, as well as to other providers of relevant services. In this paper, our main contribution is to analyze the massive amounts of video data from a YouTube partner´s view. We make effective use of Insight, a new analytics service of YouTube that offers simple data analysis for partners. To provide the practical guidance from the raw Insight data, we enable more complex investigations for the inherent features that affect the popularity of the videos. Our findings facilitate YouTube partners to re-design current video publishing strategies, having more opportunities to attract more views.
Keywords
Big Data; data analysis; social networking (online); YouTube partners; big data; data analysis; online video sharing site; raw Insight data; user generated content; user sharing activities; user watching activities; video publishing strategies; Behavioral science; Big data; Games; Motion pictures; TV; Video communication; Watches; YouTube; YouTube partners; user engagement; video popularity; viewing behaviour;
fLanguage
English
Journal_Title
Communications, China
Publisher
ieee
ISSN
1673-5447
Type
jour
DOI
10.1109/CC.2014.7019837
Filename
7019837
Link To Document