DocumentCode :
609897
Title :
An Exploratory Analysis of Browsing Behavior of Web News on Twitter
Author :
Hao Han ; Nakawatase, H. ; Oyama, Koki
Author_Institution :
Nat. Inst. of Inf., Tokyo, Japan
fYear :
2012
fDate :
14-16 Dec. 2012
Firstpage :
86
Lastpage :
95
Abstract :
Twitter, a most popular micro-blog, serves more as a news medium than a social networking service. It attracts more and more Web users to access/share news and stimulates news recommendation on social Web. However, the difference between news access and sharing on Twitter is almost not considered seriously. In this paper, we exploratively study the news browsing behavior on Twitter comparing to usual Web based on the analysis of some data sets, which contains the net view data, twitter data, and Web news. We explain the different trends of users´ information acquisition between these two news media, and present possible influences brought to current news recommendation mechanism on Twitter.
Keywords :
data analysis; recommender systems; social networking (online); user interfaces; Twitter; Web news browsing behavior; exploratory data analysis; microblog; news recommendation; news recommendation mechanism; social Web; social networking service; user information acquisition; Browsing Behavior; Clustering; Net View Data; Process Mining; Social Network; Twitter; Web News;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Informatics (SocialInformatics), 2012 International Conference on
Conference_Location :
Lausanne
Print_ISBN :
978-1-4799-0234-7
Type :
conf
DOI :
10.1109/SocialInformatics.2012.41
Filename :
6542427
Link To Document :
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