skip to main content
10.1145/1978942.1979145acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Guess who?: enriching the social graph through a crowdsourcing game

Published:07 May 2011Publication History

ABSTRACT

Despite the tremendous popularity of social network sites both on the web and within enterprises, the relationship information they contain may be often incomplete or outdated. We suggest a novel crowdsourcing approach that uses a game to help enrich and expand the social network topology. The game prompts players to provide the names of people who have a relationship with individuals they know. The game was deployed for a one-month period within a large global organization. We provide an analysis of the data collected through this deployment, in comparison with the data from the organization's social network site. Our results indicate that the game rapidly collects large volumes of valid information that can be used to enrich and reinforce an existing social network site's data. We point out other aspects and benefits of using a crowdsourcing game to harvest social network information.

References

  1. Ambati, V., Vogel, S., & Carbonell J. 2010. Active learning and crowd-sourcing for machine translation. Proc. LREC'10.Google ScholarGoogle Scholar
  2. Arase, Y., Xie, X., Duan, M., Hara, T., & Nishio, S. 2009. A game based approach to assign geographical relevance to web images. Proc. WWW '09, 811--820. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Archak, N. 2010. Money, glory and cheap talk: analyzing strategic behavior of contestants in simultaneous crowdsourcing contests on TopCoder.com. Proc. WWW '10, 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bernstein, M., Tan, D., Smith, G., Czerwinski, M., & Horvitz, E. 2010. Personalization via friendsourcing. ACM Trans. Comput.-Hum. Interact. 17, 2 (May. 2010), 1--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bonhard, P. & Sasse, M. A. 2006. 'Knowing me, knowing you' - Using profiles and social networking to improve recommender systems. BT Technology Journal 24, 3 (Jul. 2006), 84--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Boyd, D. & Heer, J. 2006. Profiles as Conversation: Networked Identity Performance on Friendster. Proc. HICSS '06. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Brabham, D. C. 2008. Crowdsourcing as a model for problem solving: An introduction and cases. Convergence 14, 1, 75--90.Google ScholarGoogle ScholarCross RefCross Ref
  8. Burt, R. S. 2004. Structural Holes and Good Ideas. American Journal of Sociology, 110(2), 349--399.Google ScholarGoogle ScholarCross RefCross Ref
  9. Carmel, D., Zwerdling, N., Guy I., Ofek-Koifman, S., Har'el N., Ronen, I., Uziel, E., Yogev, S., & Chernov, S. 2009. Personalized Social Search based on the User's Social Network. Proc. CIKM '09, 1227--1236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Dugan, C., Muller, M., Millen, D. R., Geyer, W., Brownholtz, B., & Moore, M. 2007. The dogear game: a social bookmark recommender system. Proc. GROUP '07, 387--390. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Ehrlich, K., Lin, C. & Griffiths-Fisher, V. 2007. Searching for experts in the enterprise: combining text and social network analysis. Proc. Group'07, 117--126. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Farrell, S., Lau, T., Nusser, S., Wilcox, E., & Muller, M. 2007. Socially augmenting employee profiles with people-tagging. Proc. UIST '07, 91--100. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Farrell, S., Lau, T., & Nusser, S. 2007. Building communities with people-tags. Proc. INTERACT '07, 357--360. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Farzan, R., DiMicco, J., Millen, D. R., Dugan, C., Geyer, W., & Brownholtz, E. 2008. Results from deploying a participation incentive mechanism within the enterprise. Proc. CHI '08, 563--572. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Ganjisaffar, Y., Javanmardi, S., & Lopes, C. 2009. Leveraging crowdsourcing heuristics to improve search in Wikipedia. Proc. WikiSym '09. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Gilbert, E. & Karahalios, K. 2009. Predicting tie strength with social media. Proc. CHI '09, 211--220. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Granovetter, M. 1974. Getting a Job: A Study of Contacts and Careers. University Of Chicago Press.Google ScholarGoogle Scholar
  18. Guy, I., Jacovi, M., Shahar, E., Meshulam, N., Soroka, V., & Farrell, S. 2008. Harvesting with SONAR: the value of aggregating social network information. Proc. CHI '08, 1017--1026. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Guy, I., Jacovi, M., Meshulam, N., Ronen, I., & Shahar, E. 2008. Public vs. private: comparing public social network information with email. Proc. CSCW'08, 393--402. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Guy, I., Jacovi, M., Perer, A., Ronen, I., and Uziel, E.: Same Places, Same Things, Same People? Mining User Similarity on Social Media. Proc. CSCW'10, 41--50. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Guy I., Ronen I., & Wilcox E. 2009. Do You Know? Recommending People to Invite into Your Social Network. Proc. IUI'09, 77--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Guy, I., Zwerdling, N., Carmel, D., Ronen, I., Uziel, E., Yogev, S., & Ofek-Koifman S. 2009. Personalized Recommendation of Social Software Items based on Social Relations. Proc. RecSys '09, 53--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Howe, J. 2006. The rise of crowdsourcing. Wired Magazine 14, 6 (June 2006).Google ScholarGoogle Scholar
  24. Huberman, B. A., Romero, D. M., and Wu, F. 2009. Crowdsourcing, attention and productivity. J. Inf. Sci. 35, 6 (Dec. 2009), 758--765. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Kempe, D., Kleinberg, J., & Tardos, É. 2003. Maximizing the spread of influence through a social network. Proc. KDD '03, 137--146. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Kautz, H., Selman, B., & Shah, M. 1997. Referral Web: combining social networks and collaborative filtering. Commun. ACM 40, 3 (Mar. 1997), 63--65. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Law, E. & von Ahn, L. 2009. Input-agreement: a new mechanism for collecting data using human computation games. Proc. CHI '09, 1197--1206. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Ma, H., Chandrasekar, R., Quirk, C., & Gupta, A. 2009. Page hunt: improving search engines using human computation games. Proc. SIGIR '09, 746--747. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Morris, M. R., Teevan, J., & Panovich, K. 2010. What do people ask their social networks, and why?: a survey study of status message q&a behavior. Proc. CHI '10, 1739--1748. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Surowiecki, J. 2004. The wisdom of crowds: Why the many are smarter than the few. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Von Ahn, L. & Dabbish, L. 2008. Designing games with a purpose. Commun. ACM 51, 8 (Aug. 2008), 58--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Von Ahn, L. 2006. Games with a purpose, IEEE Computer Magazine 39, 6 (June 2006), 92--94. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Von Ahn, L. & Dabbish, L. 2004. Labeling images with a computer game. Proc. CHI '04, 319--326. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Von Ahn, L., Kedia, M., & Blum, M. 2006. Verbosity: a game for collecting common-sense facts. Proc. CHI '06, 75--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Von Ahn, L., Liu, R., & Blum, M. 2006. Peekaboom: a game for locating objects in images. Proc. CHI '06, 55--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Walsh, G. & Golbeck, J. 2010. Curator: a game with a purpose for collection recommendation. Proc. CHI '10, 2079--2082. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Yang, J., Adamic, L. A., & Ackerman, M. S. 2008. Crowdsourcing and knowledge sharing: strategic user behavior on taskcn. Proc. EC '08, 246--255. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Guess who?: enriching the social graph through a crowdsourcing game
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
          May 2011
          3530 pages
          ISBN:9781450302289
          DOI:10.1145/1978942

          Copyright © 2011 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 7 May 2011

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          CHI '11 Paper Acceptance Rate410of1,532submissions,27%Overall Acceptance Rate5,034of21,479submissions,23%

          Upcoming Conference

          CHI '24
          CHI Conference on Human Factors in Computing Systems
          May 11 - 16, 2024
          Honolulu , HI , USA

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader