图书情报工作

图书情报工作 >

2020 , Vol. 64 >Issue 2: 105 - 115

DOI: https://doi.org/10.13266/j.issn.0252-3116.2020.02.012

情报研究

免费与付费在线问答社区用户参与行为的比较研究

  • 齐云飞 ,
  • 赵宇翔 ,
  • 刘周颖 ,
  • 孙晓宁 ,
  • 朱庆华
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  • 1. 郑州航空工业管理学院信息管理学院 郑州 450015;
    2. 南京理工大学经济管理学院 南京 210094;
    3. 南京大学信息管理学院 南京 210023;
    4. 山西财经大学信息学院 太原 030006
齐云飞(ORCID:0000-0002-8758-2837),讲师,博士,E-mail:yfqi2015@qq.com;赵宇翔(ORCID:0000-0001-9281-3030),教授,博士生导师;刘周颖(ORCID:0000-0001-5201-500X),博士研究生;孙晓宁(ORCID:0000-0003-1759-2543),讲师,博士;朱庆华(ORCID:0000-0002-4879-399X),副院长,教授,博士生导师。

收稿日期: 2019-04-16

  修回日期: 2019-07-31

  网络出版日期: 2020-01-20

基金资助

本文系国家自然科学基金项目"基于科研众包模式的公众科学项目运作与管理机制研究"（项目编号：71774083）和教育部人文社会科学研究青年基金项目"任务复杂性情境下的用户社交与协同信息搜寻行为机制研究"（编号：18YJC870018）研究成果之一。

收起

A Comparative Study on Users Information Interaction Behaviors Between Free and Fee Q&A Communities

  • Qi Yunfei ,
  • Zhao Yuxiang ,
  • Liu Zhouying ,
  • Sun Xiaoning ,
  • Zhu Qinghua
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  • 1. School of Information Management, Zhengzhou University of Aeronautics, Zhengzhou 450046;
    2. School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094;
    3. School of Information Management, Nanjing University, Nanjing 210023;
    4. School of Information, Shanxi University of Finance & Economics, Taiyuan 030006

Received date: 2019-04-16

  Revised date: 2019-07-31

  Online published: 2020-01-20

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摘要

[目的/意义] 作为目前主流的在线问答社区模式，免费和付费在线问答社区为用户提供了不同的信息交互场景，能够满足差异化的用户需求。本文通过对两类社区用户参与行为的比较，深入揭示了他们之间的行为差异，对两类社区服务模式的优化提供了对策和建议。[方法/过程] 采用列联表分析、非参数检验和负二项回归等方法对免费和付费在线问答社区用户的参与特征和交互影响关系进行了分析。[结果/结论] 研究发现免费和付费在线问答社区用户在信息需求、参与特征和交互影响关系上存在诸多差异，其中免费在线问答社区具有最多的观点型问题，付费在线问答社区具有最多的建议型问题；免费提问者倾向于用抽象、概括的方式提出问题，付费提问者则倾向于提供详细的背景信息；问题长度负向影响免费回答的数量和长度，正向影响付费回答的长度；问题长度、回答长度正向影响免费和付费评价数量。本文丰富了对在线问答社区用户参与行为的研究，为免费和付费两类社区服务模式优化提供了一定的管理建议。

关键词： 在线问答社区; 付费问答平台; 知识付费; 用户信息交互

本文引用格式

齐云飞 , 赵宇翔 , 刘周颖 , 孙晓宁 , 朱庆华 . 免费与付费在线问答社区用户参与行为的比较研究[J]. 图书情报工作, 2020 , 64(2) : 105 -115 . DOI: 10.13266/j.issn.0252-3116.2020.02.012

Abstract

[Purpose/significance] As the popular online Q&A mode, the free and fee online Q&A communities provide users with different information interaction scenarios, differentiated user needs can be met. This paper compares the participation behavior of two types of community users, and reveals the behavioral differences between them, finally some countermeasures and suggestions for the optimization of the two kinds of community service modes are put forward.[Method/process] The contingency table analysis, non-parametric test and negative binomial regression were used to analyze the interaction characteristics and interaction relations.[Result/conclusion] This paper finds that there are many differences between free and fee online Q&A users in information demand, participation characteristics and interaction relations, free online Q&A has the most opinion questions and paid online Q&A has the most advice questions; free questioners tend to ask abstract and general questions, while fee questioners tend to provide detailed background information; the length of questions negatively affects the number and length of free answers, and positively affects the length of fee answers; the question length and answer length positively affect the number of free and fee evaluations. This paper enriches the research on user participation behavior of online Q&A community, and provides some management suggestions for free and paid online Q&A community.

Key words： online Q&A community; payment-based Q&A platform; pay for knowledge; human information interaction

参考文献

[1] FENG Y Y, YE H. Why do you return the favor in online knowledge communities? a study of the motivations of reciprocity[J]. Computers in human behavior, 2016, 63:342-349.
[2] YANG X Y, SONG S Q, ZHAO X S, et al. Understanding user behavioral patterns in open knowledge communities[J]. Interactive learning environments, 2018, 26(2):245-255.
[3] JIN J H, LI Y J, ZHONG X J, et al. Why users contribute knowledge to online communities? An empirical study of an online social Q&A community[J]. Information & management, 2015, 52(7):840-849.
[4] JIN X L M, ZHOU Z Y, LEE M K O, et al. Why users keep answering questions in online question answering communities:a theoretical and empirical investigation[J]. International journal of information management, 2013, 33(1):93-104.
[5] 赵杨,袁析妮,李露琪,等.基于社会资本理论的问答平台用户知识付费行为影响因素研究[J].图书情报知识,2018,184(4):17-25.
[6] 刘周颖,赵宇翔.基于语音互动的付费知识问答社区运营模式初探——以分答和值乎为例[J].图书与情报,2017(4):38-46.
[7] GAZAN R. Microcollaborations in a social Q&A community[J]. Information processing & management, 2010, 46(6):693-702.
[8] CHOUDHURY S, HARITH A. Exploring user behavior and needs in Q&A communities[C]//Proceedings of the European conference on social media ECSM 2014. Brighton:Academic Conferences and Publishing International, 2014:80-89.
[9] EFRON M, WINGET M. Questions are content:a taxonomy of questions in a microblogging environment[J]. Proceedings of the American Society for Information Science & Tchnology, 2011, 47(1):1-10.
[10] HARPER F M, MOY D, KONSTAN J A. Facts or friends? distinguishing informational and conversational in SQA[C]//International conference on human factors in computing systems. Boston:ACM, 2009:759-768.
[11] DENG S, FANG Y, LIU Y, et al. Understanding the factors influencing user experience of social question and answer services[J]. Information research:an international electronic journal, 2015, 20(4):1-17.
[12] FICHMAN P. A comparative assessment of answer quality on four question answering sites[J]. Journal of information science, 2011, 37(5):476-486.
[13] CHANG Y P, DONG X B. Research on the impact of consumer interaction behaviour on purchase intention in an SNS environment:evidence from China[J]. Information development, 2014, 32(3):1-13.
[14] JIN J H, YAN X B, WANG L, et al. Why users continually seek knowledge in online communities? an empirical study of an online Q&A community[C]//2015 International conference on management science & engineering(22th). Dubai:IEEE, 2015:19-22.
[15] MORRIS M R. What do people ask their social networks, and why? a survey study of status message Q&A behavior[C]//Proceedings of the 28th international conference on human factors in computing systems. Atlanta:ACM, 2010:1739-1748.
[16] CHOI E, SHAH C. User motivations for asking questions in online Q&A services[J]. Journal of the Association for Information Science and Technology, 2015, 67(5):1182-1197.
[17] JIN X L, LEE M K O, CHEUNG C M K. Understanding users' continuance intention to answer questions in online question answering communities[C]//The 9th international conference on electronic business. Macau:USACO, 2009:679-688.
[18] HSIEH G, KRAUT R E, HUDSON S E. Why pay?:exploring how financial incentives are used for question & answer[C]//Proceedings of the 28th international conference on human factors in computing systems. Atlanta:ACM, 2010:1-10.
[19] WANG H X, Xi Z H, ZHANG J X, et al. An empirical study of financial incentivized question answering in social websites[C]//Proceedings of ACM workshop on hot topics in web systems and technologies. San Jose:ACM, 2017:1-8.
[20] JAN S T K, WANG C, ZHANG Q, et al. Pay-per-question:towards targeted Q&A with payments[C]//Proceedings of the 2018 ACM conference on supporting groupwork. Sanibel Island:ACM, 2018:1-11.
[21] ZHAO Y, LIU Z, SONG S. Why should I pay for the knowledge in social Q&A platforms?[C]//iConference 2018:Transforming digital worlds. Sheffield:Springer, 2018:557-582.
[22] 赵宇翔,刘周颖,宋士杰.新一代知识问答平台中提问者付费意愿的影响因素探究[J].数据分析与知识发现,2018,2(8):16-30.
[23] 张颖,朱庆华.付费知识问答社区中提问者的答主选择行为研究[J].情报理论与实践,2018,41(12):25-30.
[24] KHUSRO S, ALAM A, KHALID S. Social question and answer sites:the story so far[J]. Program electronic library & information systems, 2017, 51(1):170-192.
[25] CHOI E, KITZIE V, SHAH C. Developing a typology of online Q&A models and recommending the right model for each question type[J]. American Society of Information Science & Technology, 2012, 49(1):1-4.
[26] SHAH C, KITZIE V, CHOI E. Modalities, motivations, and materials-investigating traditional and social online Q&A services[J]. Journal of information science, 2014, 40(5):669-687.
[27] MORRIS M R, TEEVAN J, PANOVICH K. A comparison of information seeking using search engines and social networks[C]//Proceedings of the fourth international conference on weblogs and social media. Washington:AAAI, 2010:613-617.
[28] SHAH C, KITZIE V. Social Q&A and virtual reference-comparing apples and oranges with the help of experts and users[J]. Journal of the Association for Information Science and Technology, 2012, 63(10):2020-2036.
[29] HARPER F M, RABAN D, RAFAELI S, et al. Predictors of answer quality in online Q&A sites[C]//Conference on human factors in computing systems 2008. Florence:ACM, 2008:865-874.
[30] EDLMAN B. Earnings and ratings at google answers[J]. Economic inquiry, 2012, 50(2):309-320.
[31] JAFARI M, HESAMAMIRI R, SADJADI J, et al. Assessing the dynamic behavior of online Q&A knowledge markets:a system dynamics approach[J]. Program electronic library & information systems, 2012, 46(3):341-360.
[32] KIM S, OH J S, OH S. Best-answer selection criteria in a social Q&A site from the user-oriented relevance perspective[J]. Proceedings of the American Society for Information Science & Technology, 2007, 44(1):1-15.
[33] HARPER M, MOY D, KONSTAN J A. Facts or friends? distinguishing informational and conversational questions in social Q and A sites[C]//Proceedings of the SIGCHI conference on human factors in computing systems. Boston:ACM, 2009:1-10.
[34] BLOOMA M J, KURIAN J C, CHUA A Y K, et al. Social question answering:analyzing knowledge, cognitive processes and social dimensions of micro-collaborations[J]. Computers & Education, 2013, 69(4):109-120.
[35] KHANSA L, Ma X, LIGINLAL D, et al. Understanding members' active participation in online question-and-answer communities:a theory and empirical analysis[J]. Journal of management information systems, 2015, 32(2):162-203.
[36] ZHAO L, DETLOR B, CONNELLY C E. Sharing knowledge in social Q&A sites:the unintended consequences of extrinsic motivation[J]. Journal of management information systems, 2016, 33(1):70-100.
[37] ZHANG X, LIU S, CHEN X, et al. Social capital, motivations, and knowledge sharing intention in health Q&A communities[J]. Management decision, 2017, 55(7):1536-1557.
[38] LOU J, FANG Y, LIM K H, et al. Contributing high quantity and quality knowledge to online Q&A communities[J]. Journal of the American Society for Information Science and Technology, 2013, 64(2):356-371.
[39] BODOF D, RABAN D. Question types and intermediary elicitations[J]. Journal of the Association for Information Science & Technology, 2016, 67(2):289-304.
[40] RABAN D R. The incentive structure in an online information market[J]. Journal of the Aamerican Society for Information Science & Technology, 2014, 59(14):2284-2295.
[41] KANTHAWALA S, VERMEESCH A, GIVEN B, et al. Answers to health questions:Internet search results versus online health community responses[J]. Journal of medical Internet research, 2016, 18(4):1-13.
[42] CHUA A Y K, BANERJEE S. So fast so good:an analysis of answer quality and answer speed in community question-answering sites[J]. Journal of the American Society for Information Science & Technology, 2013, 64(10):2058-2068.
[43] LAMPE C, GRAY R, FIORE A T, et al. Help is on the way:patterns of responses to resource requests on facebook[C]//The 17th ACM conference on computer supported cooperative work & social computing. Baltimore:ACM, 2014:3-15.
[44] GAZAN R. First-mover advantage in a social Q&A community[C]//The 48th Hawaii international conference on system sciences. Kauai:IEEE, 2015:1616-1623.
[45] SIN S C J, LEE C S, THENG Y L. Social Q&A question-and-comments interactions and outcomes:a social sequence analysis[C]//ICADL 2016. Tsukuba:LNCS, 2016:325-338.
[46] HARPER F M, WEINBERG J, LOGIE J, et al. Question types in social Q&A sites[J]. First Monday, 2010, 15(7):1-20.
[47] HSIEH G, COUNTS S. Mimir:a market-based real-time question and answer service[C]//Proceedings of the 27th international conference on human factors in computing systems, CHI 2009. Boston:ACM, 2009:1-10.
[48] JEON Y J, KIM Y M, CHEN Y. Re-examining price as a predictor of answer quality in an online Q&A site[C]//Sigchi conference on human factors in computing systems. Atlanta:ACM, 2010:325-328.
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