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A Diversity-Seeking Mobile News App Based on Difference Analysis of News Articles

  • Conference paper
  • First Online:
Database and Expert Systems Applications (Globe 2015, DEXA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9262))

Abstract

To support the efficient gathering of diverse information about a news event, we propose a diversity-seeking mobile news app on smart mobile devices. At first, by extending our previous work, based on the entity-oriented news analysis, we propose three measures for searching and ranking news articles from perspectives of difference in opinions, difference in details, and difference in factor coverages. Then, by utilizing these measures, we develop a news app on mobile devices to help users to acquire diverse reports for improving news understanding. One of the notable features of our system is a context-aware re-ranking method for enhancing the diversity of news reports presented to users by considering the access history. The experimental results demonstrate the efficiency of our methods.

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Notes

  1. 1.

    http://nlp.stanford.edu/software/dependenciesmanual.pdf

  2. 2.

    https://support.google.com/news/answer/2602970

  3. 3.

    http://www.crowdflower.com/

  4. 4.

    Notice the other nine news events have same scores.

References

  1. Kiritoshi, K., Ma, Q.: Named entity oriented related news ranking. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds.) DEXA 2014, Part II. LNCS, vol. 8645, pp. 82–96. Springer, Heidelberg (2014)

    Google Scholar 

  2. Park, S., Kang, S., Song, S.C.J.: Newscube: delivering multiple aspects of news to mitigate media bias. In: CHI 2009, pp. 443–452 (2009)

    Google Scholar 

  3. Ogawa, T., Ma, Q., Yoshikawa, M.: News bias analysis based on stakeholder mining. IEICE Trans. 94–D, 578–586 (2011)

    Google Scholar 

  4. Xu, L., Ma, Q., Yoshikawa, M.: A cross-media method of stakeholder extraction for news contents analysis. In: Chen, L., Tang, C., Yang, J., Gao, Y. (eds.) WAIM 2010. LNCS, vol. 6184, pp. 232–237. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Ma, Q., Yoshikawa, M.: Topic and viewpoint extraction for diversity and bias analysis of news contents. In: Li, Q., Feng, L., Pei, J., Wang, S.X., Zhou, X., Zhu, Q.-M. (eds.) APWeb/WAIM 2009. LNCS, vol. 5446, pp. 150–161. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993 (2003)

    MATH  Google Scholar 

  7. Jarvelin, K., Kekalainen, J.: Evaluation, cumulated gain-based, of IR techniques. ACM Trans. Inf. Syst. 20, 422–446 (2002)

    Article  MATH  Google Scholar 

  8. Ma, Q., Nadamoto, A., Tanaka, K.: Complementary information retrieval for cross-media news content. Inf. Syst. 31(7), 659–678 (2006)

    Article  Google Scholar 

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Acknowledgement

This work is partly supported by KAKENHI(No. 25700033) and SCAT Research Funding.

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Authors and Affiliations

  1. Kyoto University, Kyoto, 606-8501, Japan

    Keisuke Kiritoshi & Qiang Ma

Authors
  1. Keisuke Kiritoshi
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  2. Qiang Ma
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Corresponding authors

Correspondence to Keisuke Kiritoshi or Qiang Ma .

Editor information

Editors and Affiliations

  1. Hewlett-Packard Enterprise, Sunnyvale, California, USA

    Qiming Chen

  2. Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  3. Blaise Pascal University, Aubiere, France

    Farouk Toumani

  4. University of Linz, Linz, Austria

    Roland Wagner

  5. Universidad Politécnica de Valencia, Valencia, Spain

    Hendrik Decker

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Kiritoshi, K., Ma, Q. (2015). A Diversity-Seeking Mobile News App Based on Difference Analysis of News Articles. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds) Database and Expert Systems Applications. Globe DEXA 2015 2015. Lecture Notes in Computer Science(), vol 9262. Springer, Cham. https://doi.org/10.1007/978-3-319-22852-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-22852-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22851-8

  • Online ISBN: 978-3-319-22852-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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