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Blog Ranking Based on Bloggers’ Knowledge Level for Providing Credible Information

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Book cover Web Information Systems Engineering - WISE 2009 (WISE 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5802))

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Abstract

With the huge increase of recently popular user-generated content on the Web, searching for credible information has become progressively difficult. In this paper, we focus on blogs, one kind of user-generated content, and propose a credibility-focused blog ranking method based on bloggers’ knowledge level. This method calculates knowledge scores for bloggers and ranks blog entries based on bloggers’ knowledge level. Bloggers’ knowledge level is evaluated based on their usage of domain-specific words in their past blog entries. A blogger is given multiple scores with respect to various topic areas. In our method, blog entries written by knowledgeable bloggers have higher rankings than those written by common bloggers. Additionally, our system can present multiple ranking lists of blog entries from the perspectives of different bloggers’ groups. This allows users to estimate the trustworthiness of blog contents from multiple aspects. We built a prototype of the proposed system, and our experimental evaluation showed that our method could effectively rank bloggers and blog entries.

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References

  1. Brin, S., Page, L.: The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks 30(1-7), 107–117 (1998)

    Google Scholar 

  2. Google Blog Search, http://blogsearch.google.co.jp/

  3. Technorati, http://www.technorati.jp/

  4. Fujimura, K., Inoue, T., Sugisaki, M.: The EigenRumor Alogorithm for Ranking Blogs. In: WWW 2005 2nd Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics (2005)

    Google Scholar 

  5. Kritikopoulos, A., Sideri, M., Varlamis, I.: BlogRank: Ranking Weblogs Based on Connectivity and Similarity Features. In: AAA-IDEA (2006)

    Google Scholar 

  6. Gil, Y., Artz, D.: Towards Content Trust of Web Resources. In: WWW, pp. 565–574 (2006)

    Google Scholar 

  7. Thomas Adler, B., de Alfaro, L.: A Content-driven Reputation System for the Wikipedia. In: WWW, pp. 261–270 (2007)

    Google Scholar 

  8. Andersen, R., Borgs, C., Chayes, J.T., Feige, U., Flaxman, A.D., Kalai, A., Mirrokni, V.S., Tennenholtz, M.: Trust-based Recommendation Systems: An Axiomatic Approach. In: WWW, pp. 199–208 (2008)

    Google Scholar 

  9. Kizasi Blog Search, http://kizasi.jp/labo/fansearch/index.py

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© 2009 Springer-Verlag Berlin Heidelberg

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Nakajima, S., Zhang, J., Inagaki, Y., Kusano, T., Nakamoto, R. (2009). Blog Ranking Based on Bloggers’ Knowledge Level for Providing Credible Information. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds) Web Information Systems Engineering - WISE 2009. WISE 2009. Lecture Notes in Computer Science, vol 5802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04409-0_26

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  • DOI: https://doi.org/10.1007/978-3-642-04409-0_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04408-3

  • Online ISBN: 978-3-642-04409-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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