Competing to Share Expertise: The Taskcn Knowledge Sharing Community

Proceedings of the International AAAI Conference on Web and Social Media Pub Date : 2021-09-25 DOI:10.1609/icwsm.v2i1.18618

Jiang Yang, Lada A. Adamic, M. Ackerman

{"title":"Competing to Share Expertise: The Taskcn Knowledge Sharing Community","authors":"Jiang Yang, Lada A. Adamic, M. Ackerman","doi":"10.1609/icwsm.v2i1.18618","DOIUrl":null,"url":null,"abstract":"\"Witkeys\" are websites in China that form a rapidly growing web-based knowledge market. A user who posts a task also offers a small fee, and many other users submit their answers to compete. The Witkey sites fall in-between aspects of the now-defunct Google Answers (vetted experts answer questions for a fee) and Yahoo Answers (anyone can answer or ask a question). As such, these sites promise new possibilities for knowledge-sharing online communities, perhaps fostering the freelance marketplace of the future. In this paper, we investigate one of the biggest Witkey websites in China, Taskcn.com. In particular, we apply social network prestige measures to a novel construction of user and task networks based on competitive outcomes to discover the underlying properties of both users and tasks. Our results demonstrate the power of this approach: Our analysis allows us to infer relative expertise of the users and provides an understanding of the participation structure in Taskcn. The results suggest challenges and opportunities for this kind of knowledge sharing medium.","PeriodicalId":338112,"journal":{"name":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"80","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International AAAI Conference on Web and Social Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/icwsm.v2i1.18618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 80

Abstract

"Witkeys" are websites in China that form a rapidly growing web-based knowledge market. A user who posts a task also offers a small fee, and many other users submit their answers to compete. The Witkey sites fall in-between aspects of the now-defunct Google Answers (vetted experts answer questions for a fee) and Yahoo Answers (anyone can answer or ask a question). As such, these sites promise new possibilities for knowledge-sharing online communities, perhaps fostering the freelance marketplace of the future. In this paper, we investigate one of the biggest Witkey websites in China, Taskcn.com. In particular, we apply social network prestige measures to a novel construction of user and task networks based on competitive outcomes to discover the underlying properties of both users and tasks. Our results demonstrate the power of this approach: Our analysis allows us to infer relative expertise of the users and provides an understanding of the participation structure in Taskcn. The results suggest challenges and opportunities for this kind of knowledge sharing medium.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

竞争分享专业知识:Taskcn知识共享社区

“威客”是指中国形成了一个快速增长的网络知识市场的网站。发布任务的用户也会收取一小笔费用，许多其他用户会提交他们的答案来竞争。Witkey网站介于现已关闭的Google Answers(经过审查的专家收费回答问题)和Yahoo Answers(任何人都可以回答或提问)之间。因此，这些网站为知识共享的在线社区提供了新的可能性，也许会促进未来的自由职业者市场。本文以中国最大的威客网站Taskcn.com为研究对象。特别是，我们将社会网络声望测量应用于基于竞争结果的用户和任务网络的新构建，以发现用户和任务的潜在属性。我们的结果证明了这种方法的力量:我们的分析使我们能够推断用户的相关专业知识，并提供对Taskcn参与结构的理解。研究结果表明了这种知识共享媒介面临的挑战和机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Proceedings of the International AAAI Conference on Web and Social Media

自引率

0.00%

发文量