Experimental Measures of News Personalization in Google News

  • Vittoria Cozza
  • Van Tien Hoang
  • Marinella Petrocchi
  • Angelo Spognardi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9881)

Abstract

Search engines and social media keep trace of profile- and behavioral-based distinct signals of their users, to provide them personalized and recommended content. Here, we focus on the level of web search personalization, to estimate the risk of trapping the user into so called Filter Bubbles. Our experimentation has been carried out on news, specifically investigating the Google News platform. Our results are in line with existing literature and call for further analyses on which kind of users are the target of specific recommendations by Google.

Keywords

Filter bubbles Web search results News publishers 

References

  1. 1.
    Conti, M., Cozza, V., Petrocchi, M., Spognardi, A.: TRAP: using targeted ads to unveil google personal profiles. In: IEEE International Workshop on Information Forensics and Security, pp. 1–6 (2015)Google Scholar
  2. 2.
    Cozza, V., Hoang, V.T., Petrocchi, M.: Google web searches and wikipedia results: a measurement study. In: Proceedings of 7th Italian Workshop on Information Retrieval (IIR) 2016, Venice, Italy (2016). CEUR Workshop Proceedings http://ceur-ws.org
  3. 3.
    Datta, A., Datta, A., Jana, S., Tschantz, M.C.: Poster: information flow experiments to study news personalization. In: 2015 IEEE 28th Computer Security Foundations Symposium (CSF). IEEE (2015)Google Scholar
  4. 4.
    Englehardt, S., Narayanan, A.: Online tracking: a 1-million-site measurement and analysis. Technical report, May 2016Google Scholar
  5. 5.
    Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by Gibbs sampling. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, ACL 2005, pp. 363–370. Association for Computational Linguistics, Stroudsburg (2005)Google Scholar
  6. 6.
    Hannak, A., Sapiezynski, P., Kakhki, A.M., Krishnamurthy, B., Lazer, D., Mislove, A., Wilson, C.: Measuring personalization of web search. In: 22nd International Conference on World Wide Web, WWW 2013, pp. 527–538 (2013)Google Scholar
  7. 7.
    Haveliwala, T., Jeh, G., Kamvar, S. Targeted advertisements based on user profiles and page profile. US Patent 8,321,278, 27 November 2012Google Scholar
  8. 8.
    Hindman, M.: The Mith of Digital Democracy. Princeton University Press, Princeton (2009)Google Scholar
  9. 9.
    Hoang, V.T., Cozza, V., Petrocchi, M., De Nicola, R.: Online user behavioural modeling with applications to price steering. In: Proceedings of the 2nd International Workshop on Personalization and Recommender Systems in Financial Services (FINREC 2016), Bari, Italy, pp. 16-21 (2016). CEUR Workshop Proceedings http://ceur-ws.org/Vol-1606/paper04.pdf. ISBN: 1613-0073
  10. 10.
    Lawrence, S.: Personalization of web search, US Patent App. 10/676,711, March 2005Google Scholar
  11. 11.
    Liu, J., Dolan, P., Pedersen, E.R.: Personalized news recommendation based on click behavior. In: Proceedings of the 15th International Conference on Intelligent User Interfaces, IUI 2010, pp. 31–40. ACM, New York (2010)Google Scholar
  12. 12.
    Morozov, E.: The Net Delusion: The Dark Side of Internet Freedom. Perseus Books, Cambridge (2011)Google Scholar
  13. 13.
    Pariser, E.: The Filter Bubble: What the Internet Is Hiding From You. Penguin Group, London (2011)Google Scholar
  14. 14.
    Tschantz, M., Datta, A., Datta, A., Wing, J.: A methodology for information flow experiments. In: 2015 IEEE 28th Computer Security Foundations Symposium (CSF), pp. 554–568, July 2015Google Scholar
  15. 15.
    Zanker, M., Ricci, F., Jannach, D., Terveen, L.: Measuring the impact of personalization, recommendation on user behaviour. Int. J. Hum.-Comput. Stud. 68(8), 469–471 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Vittoria Cozza
    • 1
    • 2
  • Van Tien Hoang
    • 3
  • Marinella Petrocchi
    • 1
  • Angelo Spognardi
    • 1
    • 4
  1. 1.IIT-CNRPisaItaly
  2. 2.DEIPolytechnic University of BariBariItaly
  3. 3.IMT School for Advanced StudiesLuccaItaly
  4. 4.DTU ComputeLyngbyDenmark

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