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

Krishna VShrestha Yvon Krogh G(2024)“The double-edged sword of inflated help”: Unravelling the motivation crowding in community question-answering platformsPLOS ONE10.1371/journal.pone.029762719:3(e0297627)Online publication date: 13-Mar-2024
https://doi.org/10.1371/journal.pone.0297627
He CDeng YHe LGuo QZhang YLu ZLi B(2024)Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A SiteProceedings of the ACM on Human-Computer Interaction10.1145/36373278:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637327
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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cover image ACM Conferences

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

April 2009

2426 pages

ISBN:9781605582467

DOI:10.1145/1518701

General Chairs:
Dan R. Olsen
Brigham Young University
,
Richard B. Arthur
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

Copyright © 2009 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]

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Published: 04 April 2009

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CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

MA, Boston, USA

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CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Krishna VShrestha Yvon Krogh G(2024)“The double-edged sword of inflated help”: Unravelling the motivation crowding in community question-answering platformsPLOS ONE10.1371/journal.pone.029762719:3(e0297627)Online publication date: 13-Mar-2024
https://doi.org/10.1371/journal.pone.0297627
He CDeng YHe LGuo QZhang YLu ZLi B(2024)Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A SiteProceedings of the ACM on Human-Computer Interaction10.1145/36373278:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637327
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
Vargo ATag BBlakely CKise K(2023)Poverty Traps in Online Knowledge-Based Peer-Production CommunitiesInformatics10.3390/informatics1003006110:3(61)Online publication date: 13-Jul-2023
https://doi.org/10.3390/informatics10030061
A. HASEGAWA AAKIYAMA MYAMASHITA NINOUE DMORI T(2023)Analysis of Non-Experts' Security- and Privacy-Related Questions on a Q&A SiteIEICE Transactions on Information and Systems10.1587/transinf.2022ICP0006E106.D:9(1380-1396)Online publication date: 1-Sep-2023
https://doi.org/10.1587/transinf.2022ICP0006
Saha AGergle DPiper A(2023)Understanding Peer-to-Peer Instructional Support in an Online Community for Blind Audio ProducersProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608399(1-15)Online publication date: 22-Oct-2023
https://dl.acm.org/doi/10.1145/3597638.3608399
Wang LRzeszotarski J(2023)Understanding Motivational Factors in Social Media News Sharing DecisionsProceedings of the ACM on Human-Computer Interaction10.1145/35795387:CSCW1(1-30)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579538
Hadi Mogavi RZhang YHaq EWu YHui PMa X(2022)What Do Users Think of Promotional Gamification Schemes? A Qualitative Case Study in a Question Answering WebsiteProceedings of the ACM on Human-Computer Interaction10.1145/35551246:CSCW2(1-34)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555124
Guo CCaine K(2021)Anonymity in Questions and Answers about HealthProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118132064115064:1(658-662)Online publication date: 9-Feb-2021
https://doi.org/10.1177/1071181320641150
Wang LWang DTian FPeng ZFan XZhang ZYu MMa XWang H(2021)CASSProceedings of the ACM on Human-Computer Interaction10.1145/34490835:CSCW1(1-31)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449083
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