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Evaluating credibility of interest reflection on Twitter

Hao Han (Department of Information Sciences, Kanagawa University, Hiratsuka, Japan, and)
Hidekazu Nakawatase (Digital Content and Media Sciences Research Division, National Institute of Informatics, Chiyoda, Japan)
Keizo Oyama (Digital Content and Media Sciences Research Division, National Institute of Informatics, Chiyoda, Japan)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 11 November 2014

Abstract

Purpose

The purpose of this article was to confirm whether users’ interests are reflected by tweeted Web pages, and to evaluate the credibility of interest reflection of tweeted Web pages.

Design/methodology/approach

Interest reflection of Twitter is investigated based on the context of sharing behavior. A context-oriented approach is proposed to evaluate the interest reflection of tweeted Web pages based on machine learning. Some different distribution models of similarity are present, and infer whether tweeted Web pages reflect respective users’ interests by analyzing user access profiles.

Findings

The analysis of browsing behaviors finds that many users partially hide their own concerns, hobbies and interests, and emphasize the concerns about social phenomenon. The extensive experimental results showed the context-oriented approach is effective on real net view data.

Originality/value

As the first-of-its-kind study on evaluating the credibility of interest reflection on Twitter, extensive experiments have been conducted on the data sets containing real net view data. For higher accuracy and less subjectivity, various features are generated from user’s Web view and Twitter submission background with some different context factors.

Keywords

Acknowledgements

We gratefully acknowledge the data provided by Yamana Laboratory (Department of Computer Science, Waseda University, Japan). We also acknowledge the technical support provided by Feng Xiao (Department of Computer Science, Tokyo Institute of Technology, Japan). This work was supported by a Grant-in-Aid for Scientific Research A (No.22240007) from the Japan Society for the Promotion of Science (JSPS).

Citation

Han, H., Nakawatase, H. and Oyama, K. (2014), "Evaluating credibility of interest reflection on Twitter", International Journal of Web Information Systems, Vol. 10 No. 4, pp. 343-362. https://doi.org/10.1108/IJWIS-04-2014-0019

Publisher

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Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited