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Published:16 April 2012Publication History

ABSTRACT

We use Yahoo!~Toolbar data to gain insights into why people use Q&A sites. For this purpose we look at tens of thousands of questions asked on both Yahoo!~Answers and on Wiki Answers. We analyze both the pre-question behavior of users as well as their general online behavior. Using an existing approach (Harper et al.), we classify questions into "informational" vs. "conversational". Finally, for a subset of users on Yahoo! Answers we also integrate age and gender into our analysis. Our results indicate that there is a one-dimensional spectrum of users ranging from "social users" to "informational users". In terms of demographics, we found that both younger and female users are more "social" on this scale, with older and male users being more "informational".

Concerning the pre-question behavior, users who first issue a question-related query, and especially those who do not click any web results, are more likely to issue informational questions than users who do not search before. Questions asked shortly after the registration of a new user on Yahoo! Answers tend to be social and have a lower probability of being preceded by a web search than other questions.

Finally, we observed evidence both for and against topical congruence between a user's questions and his web queries.

References

  1. L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman. Knowledge sharing and Yahoo! Answers: everyone knows something. In WWW, pages 665--674, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. K. Ehrlich and D. Cash. Turning information into knowledge: Information finding as a collaborative activity. In DL, pages 119--125, 1994.Google ScholarGoogle Scholar
  3. B. Evans, S. Kairam, and P. Pirolli. Do your friends make you smarter?: An analysis of social strategies in online information seeking. IPM, 46(6):679--692, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. B. M. Evans and E. H. Chi. Towards a model of understanding social search. In CSCW, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. N. Ford, D. Miller, and N. Moss. Web search strategies and human individual differences: A combined analysis. JASIST, 56(7):757--764, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. N. Ford, D. Miller, and N. Moss. Web search strategies and human individual differences: cognitive and demographic factors, internet attitudes, and approaches. JASIST, 56(7):741--756, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Z. Gyongyi, G. Koutrika, J. Pedersen, and H. Garcia-Molina. Questioning Yahoo! Answers. In QAWeb2008@WWW, 2008.Google ScholarGoogle Scholar
  8. F. M. Harper, D. Moy, and J. A. Konstan. Facts or friends? Distinguishing informational and conversational questions in social Q&Asites. In CHI, pages 759--768, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. Harper, J. Weinberg, J. Logie, and J. A. Konstan. Question types in social Q&A sites. First Monday, 15(7), 2010.Google ScholarGoogle Scholar
  10. A. Hassan, R. Jones, and K. Klinkner. Beyond dcg: User behavior as a predictor of a successful search. In WSDM, pages 221--230, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Kim, J. S. Oh, and S. Oh. Best-answer selection criteria in a social q&a site from the user-oriented relevance perspective. JASIST, 44(1):1--15, 2007.Google ScholarGoogle Scholar
  12. B. Li, Y. Liu, and E. Agichtein. Cocqa: co-training over questions and answers with an application to predicting question subjectivity orientation. In EMNLP, pages 937--946, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. B. Li, Y. Liu, A. Ram, E. V. Garcia, and E. Agichtein. Exploring question subjectivity prediction in community qa. In SIGIR, pages 735--736, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. M. R. Morris, J. Teevan, and K. Panovich. What do people ask their social networks, and why?: a survey study of status message Q&A behavior. In CHI, pages 1739--1748, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. A. Thatcher. Information-seeking behaviours and cognitive search strategies in different search tasks on the WWW. ERGON, 36(12):1055--1068, 2006.Google ScholarGoogle Scholar
  16. I. Weber and A. Jaimes. Who uses web search for what? And how? In WSDM, pages 15--24, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Other conferences
      WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web
      April 2012
      1250 pages
      ISBN:9781450312301
      DOI:10.1145/2187980

      Copyright © 2012 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 April 2012

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