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