图书情报知识 ›› 2023, Vol. 40 ›› Issue (4): 122-133,152.doi: 10.13366/j.dik.2023.04.122

• 情报、信息与共享 • 上一篇    下一篇

信息觅食视角下付费问答社区中的围观行为研究

秦芬1, 郭海玲2   

  1. 1.太原理工大学经济管理学院,太原,300071;
    2.河北大学管理学院,保定,071002
  • 出版日期:2023-07-10 发布日期:2023-08-17
  • 通讯作者: 秦芬(ORCID:0000-0002-2521-0317),博士,讲师,研究方向:知识付费、消费者行为,Email:qinfentytu@126.com。
  • 作者简介:郭海玲(ORCID:0000-0003-1487-9725),博士,教授,研究方向:信息服务与用户行为, Email:catherinenk@163.com。
  • 基金资助:
    本文系河北省高等学校青年拔尖人才计划项目“‘短视频+直播’电商带货的内容生产和优化路径研究”(BJ2021090)的研究成果之一。

Viewership in Paid Q&A Communities: An Information Foraging Perspective

QIN Fen1, GUO Hailing2   

  1. 1.Economics and Management of Taiyuan University of Technology, Taiyuan, 300071;
    2. School of Management, Hebei University, Baoding, 071002
  • Online:2023-07-10 Published:2023-08-17
  • Contact: Correspondence should be addressed to QIN Fen, Email: qinfentytu@126.com, ORCID: 0000-0002-2521-0317
  • Supported by:
    This is an outcome of the project "Research on Content Production and Optimization Path of 'Short Video+Live Broadcast' E-Commerce'(BJ2021090) supported by Top Young Talents Program of Colleges and Universities of Hebei Province.

摘要: [目的/意义]主要探究付费问答社区中用户围观行为的影响因素,帮助理解用户付费围观的心理和答主与提问者的行为模式、优化社区运营者的产品设计。[研究设计/方法]基于信息觅食理论模型及相关文献,提出了研究模型和假设,利用微博问答中健康医疗、财经、互联网资讯三个领域的14,167条样本和广义线性回归方法(GLM),验证各因素对围观行为的影响机制。[结论/发现]问题的提问价格和描述的详细程度正向影响围观数;互联网资讯领域问题的围观数多于健康医疗和财经领域问题的围观数,但互联网资讯领域答主回答问题数的均值要低于其他两个领域;健康医疗领域中答主的受喜爱度并不正向影响围观数;问题描述中体现的情感在健康医疗领域比较重要,正向情感正向影响围观数,负向情感负向影响围观数。[创新/价值]丰富了付费问答社区中问题特征(包括情感特征和问题类型)对用户围观行为影响的研究,为付费知识问答产品的设计提供了一定的启示。

关键词: 知识付费, 付费围观, 问答社区, 信息觅食理论

Abstract: [Purpose/Significance] This paper focuses on the influencing factors of the users paying to view existing answers in the paid Q&A communities , to help understand the psychology of users to pay for existing answers and the behavior patterns of answers and questioners, optimize the product design of community operators. [Design/Methodology] Drawing on the information foraging theory and related literature, we proposed a model and hypotheses.Using 14,167 samples from the three fields of health care, finance and Internet information in Weibo Q&A, and generalized linear regression method(GLM), we verified the influence mechanism of each factor on users' payment for existing answers. [Findings/Conclusion] The question price and the level of detail of the question have a positive impact on the number of viewership of existing answers; there are more viewership on questions in the field of Internet information than viewership on questions in the fields of health care and finance, but the average number of questions answered by answerers in the field of Internet information is less than that in the other two fields; The likability of the answerers in the health care field does not positively affect the number of viewership; the emotions reflected in the question description is important in the field of health care, positive emotions positively affect the number of viewership, and negative emotions negatively affect the number of viewership. [Originality/Value] Our findings enrich current research about the influence of question characteristics(including emotion characteristics and question types)on users' payment for existing answers, and provide reference for designing paid Q&A products.

Keywords: Knowledge payment, Payment for existing answers, Q&A communities, Information foraging theory