ABSTRACT
In location-based social Q&A, the questions related to a local community (e.g. local services and places) are typically answered by local residents (i.e. who have the local knowledge). In this work, we wanted to deepen our understanding of the localness of knowledge sharing through investigating the topical and typological patterns related to the geographic characteristics, geographic locality of user activities, and motivations of local knowledge sharing. To this end, we analyzed a 12-month period Q&A dataset from Naver KiN "Here" and a supplementary survey dataset from 285 mobile users. Our results revealed several unique characteristics of location-based social Q&A. When compared with conventional social Q&A sites, Naver KiN "Here" had very different topical/typological patterns. Naver KiN "Here" exhibited a strong spatial locality where the answerers mostly had 1-3 spatial clusters of contributions, the topical distributions varied widely across different districts, and a typical cluster spanned a few neighboring districts. In addition, we uncovered unique motivators, e.g. ownership of local knowledge and sense of local community. The findings reported in the paper have significant implications for the design of Q&A systems, especially location-based social Q&A systems.
- KKMA. http://kkma.snu.ac.kr.Google Scholar
- Localmind. http://www.localmind.com.Google Scholar
- Localuncle. http://www.localuncle.com.Google Scholar
- LOCQL. http://www.locql.com.Google Scholar
- Naver Local Q&A. http://kin.naver.com/qna/list.nhn?dirId=12.Google Scholar
- Yahoo! Answers. https://answers.yahoo.com/.Google Scholar
- Adamic, L. A., Zhang, J., Bakshy, E., and Ackerman, M. S. Knowledge Sharing and Yahoo Answers: Everyone Knows Something. In WWW (2008). Google ScholarDigital Library
- Berke, P., and Kaiser, E. J. Urban Land Use Planning. University of Illinois Press, 2006.Google Scholar
- Bilandzic, M., Foth, M., and De Luca, A. CityFlocks: Designing Social Navigation for Urban Mobile Information Systems. In DIS (2008). Google ScholarDigital Library
- Church, K., Neumann, J., Cherubini, M., and Oliver, N. SocialSearchBrowser: A Novel Mobile Search and Information Discovery Tool. In IUI (2010). Google ScholarDigital Library
- Church, K., Neumann, J., Cherubini, M., and Oliver, N. The "Map Trap"?: An Evaluation of Map Versus Text-based Interfaces for Location-based Mobile Search Services. In WWW (2010). Google ScholarDigital Library
- Church, K., and Smyth, B. Understanding the Intent Behind Mobile Information Needs. In IUI (2009). Google ScholarDigital Library
- Edelman, B. Earnings and Ratings at Google Answers. Economic Inquiry (2012).Google Scholar
- Espinoza, F., Persson, P., Sandin, A., Nyström, H., Cacciatore, E., and Bylund, M. Geonotes: Social and Navigational Aspects of Location-Based Information Systems. In Ubicomp (2001). Google ScholarDigital Library
- Gaonkar, S., Li, J., Choudhury, R. R., Cox, L., and Schmidt, A. Micro-Blog: Sharing and Querying Content Through Mobile Phones and Social Participation. In MobiSys (2008). Google ScholarDigital Library
- Hecht, B. J., and Gergle, D. On the "Localness" of User-generated Content. In CSCW (2010). Google ScholarDigital Library
- Henrich, A., and Luedecke, V. Characteristics of Geographic Information Needs. In GIR (2007). Google ScholarDigital Library
- Jones, R., Zhang, W. V., Rey, B., Jhala, P., and Stipp, E. Geographic Intention and Modification in Web Search. International Journal of Geographical Information Science (2008). Google ScholarDigital Library
- Kim, S., Oh, J. S., and Oh, S. Best-Answer Selection Criteria in a Social Q&A Site from the User-Oriented Relevance Perspective. Proceedings of the American Society for Information Science and Technology (2007).Google ScholarCross Ref
- Kraut, R. E., and Resnick, P. Encouraging Contribution to Online Communities. Building Successful Online Communities: Evidence-based Social Design (2011).Google Scholar
- Kulshrestha, J., Kooti, F., Nikravesh, A., and Gummadi, P. K. Geographic Dissection of the Twitter Network. In ICWSM (2012).Google Scholar
- Lee, U., Kang, H., Yi, E., Yi, M., and Kantola, J. Understanding Mobile Q&A Usage: An Exploratory Study. In CHI (2012). Google ScholarDigital Library
- Lee, U., Kim, J., Yi, E., Sung, J., and Gerla, M. Analyzing Crowd Workers in Mobile Pay-for-Answer Q&A. In CHI (2013). Google ScholarDigital Library
- Lieberman, M. D., and Lin, J. You Are Where You Edit: Locating Wikipedia Contributors through Edit Histories. In ICWSM (2009).Google Scholar
- Ludford, P. J., Priedhorsky, R., Reily, K., and Terveen, L. Capturing, Sharing, and Using Local Place Information. In CHI (2007). Google ScholarDigital Library
- McMillan, D. W., and Chavis, D. M. Sense of Community: A Definition and Theory. Journal of community psychology (1986).Google Scholar
- Morris, M. R., Teevan, J., and Panovich, K. What Do People Ask Their Social Networks, and Why?: A Survey Study of Status Message Q&A Behavior. In CHI (2010). Google ScholarDigital Library
- Nam, K. K., Ackerman, M. S., and Adamic, L. A. Questions in, Knowledge in?: A Study of Naver's Question Answering Community. In CHI (2009). Google ScholarDigital Library
- Nichols, J., and Kang, J.-H. Asking Questions of Targeted Strangers on Social Networks. In CSCW (2012). Google ScholarDigital Library
- Raban, D., and Harper, F. Motivations for Answering Questions Online. New media and innovative technologies (2008).Google Scholar
- Raban, D. R. The Incentive Structure in an Online Information Market. Journal of the American Society for Information Science and Technology (2008). Google ScholarDigital Library
- Shah, C., Oh, J. S., and Oh, S. Exploring Characteristics and Effects of User Participation in Online Social Q&A Sites. First Monday (2008).Google Scholar
- Sohn, T., Li, K. A., Griswold, W. G., and Hollan, J. D. A Diary Study of Mobile Information Needs. In CHI (2008). Google ScholarDigital Library
- Sterling, G. Study: 43 Percent Of Total Google Search Queries Are Local. Search Engine Land, 2012.Google Scholar
- Sung, J., Lee, J.-G., and Lee, U. Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-based Question Answering Services. In ICWSM (2013).Google Scholar
- Teevan, J., Karlson, A., Amini, S., Brush, A. J. B., and Krumm, J. Understanding the Importance of Location, Time, and People in Mobile Local Search Behavior. In MobileHCI (2011). Google ScholarDigital Library
- Wang, S., and Noe, R. A. Knowledge Sharing: A Review and Directions for Future Research. Human Resource Management Review (2010).Google Scholar
- Yardi, S., and Boyd, D. Tweeting from the Town Square: Measuring Geographic Local Networks. In ICWSM (2010).Google Scholar
Index Terms
- Understanding localness of knowledge sharing: a study of Naver KiN 'here'
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