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Questions in, knowledge in? | Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

research-article

Questions in, knowledge in?: a study of naver's question answering community

Authors:

Kevin Kyung Nam,

Mark S. Ackerman,

Lada A. AdamicAuthors Info & Claims

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 779 - 788

https://doi.org/10.1145/1518701.1518821

Published: 04 April 2009 Publication History

Abstract

Large general-purposed community question-answering sites are becoming popular as a new venue for generating knowledge and helping users in their information needs. In this paper we analyze the characteristics of knowledge generation and user participation behavior in the largest question-answering online community in South Korea, Naver Knowledge-iN. We collected and analyzed over 2.6 million question/answer pairs from fifteen categories between 2002 and 2007, and have interviewed twenty six users to gain insights into their motivations,roles, usage and expertise. We find altruism, learning, and competency are frequent motivations for top answerers to participate, but that participation is often highly intermittent. Using a simple measure of user performance, we find that higher levels of participation correlate with better performance. We also observe that users are motivated in part through a point system to build a comprehensive knowledge database. These and other insights have significant implications for future knowledge generating online communities.

References

[1]

L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman. Knowledge Sharing and Yahoo Answers: Everyone Knows Something. In WWW '08, pages 665--674.

Digital Library

[2]

E. Agichtein, C. Castillo, D. Donato, A. Gionis, and G. Mishne. Finding High-Quality Content in Social Media. In WSDM '08, pages 183--194, 2008.

Digital Library

[3]

J. Bian, Y. Liu, E. Agichtein, and H. Zha. Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media. In WWW '08, pages 467--476, 2008.

Digital Library

[4]

P. B. Brandtzæg and J. Heim. User loyalty and online communities: why members of online communities are not faithful. In INTETAIN '08, pages 1--10, 2007.

Digital Library

[5]

B. Butler, L. Sproull, S. Kiesler, and R. Kraut. Community effort in online groups: Who does the work and why? S. Weisband. (Ed.), Leadership at a distance., pages 171--194, 2007.

[6]

D. Constant, L. Sproull, and S. Kiesler. The Kindness of Strangers: The Usefulness of Electronic Weak Ties for Technical Advice. Organization Science, 7(2):119, 1996.

Digital Library

[7]

C. Dellarocas. The Digitization of Word-of-Mouth: Promise and Challenges of Online Reputation Mechanisms. Management Science, 49(10):1407--1424, 2003.

Digital Library

[8]

F. M. Harper, D. Raban, S. Rafaeli, and J. A. Konstan. Predictors of Answer Quality in Online Q&A Sites. In CHI '08, pages 865--874, New York, NY, USA, 2008.

Digital Library

[9]

T. Holloway, M. Bozicevic, and K. Börner. Analyzing and Visualizing the Semantic Coverage of Wikipedia and its Authors. Complexity, 12(3), 2007.

Digital Library

[10]

J. Jeon, W. B. Croft, and J. H. Lee. Finding Similar Questions in Large Question and Answer Archives. In CIKM '05, pages 84--90, 2005.

Digital Library

[11]

P. Jurczyk and E. Agichtein. Discovering authorities in question answer communities by using link analysis. pages 919--922, 2007.

[12]

G. T. Kim. KOREA: Naver's Knowledge Search Database Tops 60 Million . Asia Media Media News Daily., March 2007. Retrieved June 2, 2008.

[13]

M. Miles and H. A. M. Qualitative Data Analysis. Sage Publications Inc, 1994.

[14]

J. Preece, B. Nonnecke, and D. Andrews. The Top Five Reasons for Lurking: Improving Community Experiences for Everyone. Computers in Human Behavior, 20(2):201--223, 2004.

[15]

A. M. Rashid, K. Ling, R. D. Tassone, P. Resnick, R. Kraut, and J. Riedl. Motivating participation by displaying the value of contribution. In CHI '06, pages 955--958, New York, NY, USA, 2006.

Digital Library

[16]

F. Viégas, M. Wattenberg, and K. Dave. Studying Cooperation and Conflict Between Authors with History Flow Visualizations. CHI2004, 2004.

[17]

E. Wegner. Communities of Practice: Learning, Meaning, and Identity. New York: Cambridge University Press, 1998.

[18]

H. T. Welser, E. Gleave, D. Fisher, and M. Smith. Visualizing the Signatures of Social Roles in Online Discussion Groups. Journal of Social Structure, 8(2), 2007.

[19]

Wikipedia. Knowledge Search- Wikipedia, The Free Encyclopedia, 2004. {Online; accessed 1-June-2008}.

[20]

J. Yang, L. A. Adamic, and M. S. Ackerman. Crowdsourcing and Knowledge Sharing: Strategic User Behavior. In EC'08, pages 246--255, 2008.

Digital Library

[21]

J. Yu, Z. Jiang, and H. C. Chan. Knowledge contribution in problem solving virtual communities: the mediating role of individual motivations. In SIGMIS-CPR '07, pages 144--152, 2007.

Digital Library

[22]

J. Zhang, M. Ackerman, and L. Adamic. Expertise Networks in Online Communities: Structure and Algorithms. WWW2007, pages 221--230, 2007.

Digital Library

Cited By

Ayoub AWani Z(2025)Users perception of social Q&A sites: an empirical study of information seeking and sharing behaviour in SCIS environmentsDigital Library Perspectives10.1108/DLP-08-2024-0128Online publication date: 8-Apr-2025
https://doi.org/10.1108/DLP-08-2024-0128
Yang YYu ALi JShafi MZhong L(2024)Would You Like to Share? The Influence of Gamification in the Virtual Learning CommunityJournal of the Knowledge Economy10.1007/s13132-024-02243-x16:3(11643-11672)Online publication date: 15-Oct-2024
https://doi.org/10.1007/s13132-024-02243-x
Jang MKim S(2024)Key traits of top answerers on Korean Social Q&A platforms: insights into user performance and entrepreneurial potentialHumanities and Social Sciences Communications10.1057/s41599-024-03239-311:1Online publication date: 10-Jun-2024
https://doi.org/10.1057/s41599-024-03239-3
Show More Cited By

Index Terms

Questions in, knowledge in?: a study of naver's question answering community
1. Applied computing
2. Human-centered computing
  1. Collaborative and social computing

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