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Imitation and Quality of Tags in Social Bookmarking Systems – Collective Intelligence Leading to Folksonomies

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 76))

Abstract

Social bookmarking platforms often allow users to see a list of tags that have been used previously for the webpage they are currently bookmarking, and from which they can select. In this paper, the authors analyze the influences of this feature on the tag categorizations resulting from the collaborative tagging effort. The main research goal is to show how the interface design of social bookmarking systems can influence the quality of the collective output of their users. Findings from a joint research project with the largest Russian social bookmarking site BobrDobr.ru suggest that if social bookmarking systems allow users to view the most popular tags, the overall variation of keywords used that are assigned to websites by all users decreases.

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References

  1. Marlow, C., Naaman, M., Boyd, D., Davis, M.: HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, ToRead. In: 17th conference on Hypertext and Hypermedia, Odense, Denmark, pp. 31–40. Association for Computing Machinery, New York (2006)

    Chapter  Google Scholar 

  2. Vander Wal, T.: Folksonomy Definition and Wikipedia. Blog entry (November 2005), http://www.vanderwal.net/random/entrysel.php?blog=1750 (accessed on September 9, 2009)

  3. Vander Wal, T.: Folksonomy: Coinage and Definition. Blog entry (February 2007), http://vanderwal.net/folksonomy.html (accessed on September 9, 2007)

  4. Munk, T.B., Mørk, K.: Folksonomy, the Power Law & the Significance of the Least Effort. Knowledge Organization 34(1), 16–33 (2007)

    Google Scholar 

  5. Al-Khalifa, H.S., Davis, H.C.: Replacing the Monolithic LOM: A Folksonomic Approach. In: 7th IEEE International Conference on Advanced Learning Technologies (ICALT 2007), Niigata, Japan (2007)

    Google Scholar 

  6. Tsui, E., Wang, W.M., Cheung, C.F., Lau, A.S.M.: A Concept-Relationship Acquisition and Inference Approach for Hierarchical Taxonomy Construction From Tags. Information Processing & Management 46(1) ( in print, 2010)

    Google Scholar 

  7. Van Damme, C., Coenen, T., Vandijck, E.: Turning a Corporate Folksonomy into a Lightweight Corporate Ontology. In: Abramowicz, F. (ed.) BIS 2008. Lecture Notes in Business Information Processing, vol. 7, pp. 36–47 (2008)

    Google Scholar 

  8. Farooq, U., Song, Y., Carroll, J.M., Giles, C.L.: Social Bookmarking for Scholarly Digital Libraries. IEEE Internet Computing 11(6), 29–35 (2007)

    Article  Google Scholar 

  9. Li, X.R., Snoek, C.G.M., Worring, M.: Learning Social Tag Relevance by Neighbor Voting. IEEE Transactions on Multimedia 11(7), 1310–1322 (2009)

    Article  Google Scholar 

  10. Goshal, G., Zlatic, V., Caldarelli, G., Newman, M.E.J.: Random hypergraphs and their applications. Physical Review E 79(6) (2009) (in print)

    Google Scholar 

  11. Zhang, Z.K., Zhou, T., Zhang, Y.C.: Personalized Recommendation via Integrated Diffusion on User-Item-Tag Tripartite Graphs. Physica A - Statistical Mechanics and Its Applications 389(1), 179–186 (2010)

    Article  Google Scholar 

  12. Boast, R., Bravo, M., Srinivasan, R.: Return to Babel: Emergent Diversity, Digital Resources, and Local Knowledge. Information Society 23(5), 395–403 (2007)

    Article  Google Scholar 

  13. Golder, S.A., Huberman, B.A.: Usage Patterns of Collaborative Tagging Systems. Journal of Information Science 32(2), 198–208 (2006)

    Article  Google Scholar 

  14. Heymann, P., Koutrika, G., Garcia-Molina, H.: Can Social Bookmarking Improve Web Search? In: International Conference on Web Search and Web Data Mining (WSDM 2008), Palo Alto, California, USA, pp. 195–206 (2008)

    Google Scholar 

  15. Bao, S., Wu, X., Fei, B., Xue, G., Su, Z., Yu, Y.: Optimizing Web Search Using Social Annotations. In: 16th International Conference on World Wide Web (WWW 2007), Banff, Alberta, Canada, May 8-12 (2007)

    Google Scholar 

  16. Macgregor, G., McCulloch, E.: Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool. Library Review 55(5), 291–300 (2006)

    Article  Google Scholar 

  17. Specia, L., Motta, E.: Integrating Folksonomies with the Semantic Web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 624–639. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  18. Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Information Retrieval in Folksonomies: Search and Ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  19. Arakji, R., Benbunan-Fich, R., Koufaris, M.: Exploring Contributions of Public Resources in Social Bookmarking Systems. Decision Support Systems 47(3), 245–253 (2009)

    Article  Google Scholar 

  20. Rosch, E., Mervis, C.B., Gray, W., Johnson, D., Boyes-Braem, P.: Basic Objects in Natural Categories. Cognitive Psychology 8(3), 382–439 (1976)

    Article  Google Scholar 

  21. Tanaka, J.W., Taylor, M.: Object Categories and Expertise: Is the Basic Level in the Eye of the Beholder? Cognitive Psychology 23(3), 457–482 (1991)

    Article  Google Scholar 

  22. Cialdini, R.B.: Influence: Science and Practice. Harper Collins College Publishers, New York (1993)

    Google Scholar 

  23. Hedström, P.: Rational Imitation. In: Social Mechanisms: An Analytic Approach to Social Theory. Cambridge University Press, Cambridge (1998)

    Chapter  Google Scholar 

  24. Bikhchandani, S., Hirshleifer, D., Welch, I.: A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades. The Journal of Political Economy 100(5), 992–1026 (1992)

    Article  Google Scholar 

  25. Veres, C.: The Language of Folksonomies: What Tags Reveal About User Classification. In: Kop, C., Fliedl, G., Mayr, H.C., Métais, E. (eds.) NLDB 2006. LNCS, vol. 3999, pp. 58–69. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  26. Boyd, L.H., Iversen, G.R.: Contextual Analysis: Concepts and Statistical Techniques, Wadsworth, Belmont, California, USA (1979)

    Google Scholar 

  27. Jones, Q., Ravid, G., Rafaeli, S.: Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration. Information Systems Research 15(2), 194–210 (2004)

    Article  Google Scholar 

  28. Raban, D.R., Rabin, E.: Statistical Inference from Power Law Distributed Web-Based Social Interactions. Internet Research 19(3), 266–278 (2009)

    Article  Google Scholar 

  29. Marron, D.B., Steel, D.G.: Which Countries Protect Intellectual Property? The Case of Software Piracy. Economic Inquiry 38(2), 159–174 (2000)

    Google Scholar 

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Floeck, F., Putzke, J., Steinfels, S., Fischbach, K., Schoder, D. (2010). Imitation and Quality of Tags in Social Bookmarking Systems – Collective Intelligence Leading to Folksonomies. In: Bastiaens, T.J., Baumöl, U., Krämer, B.J. (eds) On Collective Intelligence. Advances in Intelligent and Soft Computing, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14481-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-14481-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14480-6

  • Online ISBN: 978-3-642-14481-3

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