Managing the Wisdom of Crowds on Social Media Services
Recently, the "Wisdom of Crowds"' has attracted a huge amount of interests from both research and industrial communities. For the current stage, most of focus has been put on several specific crowdsourcing marketplaces like Amazon MTurk or CrowdFlower, on which "requesters" publish tasks and "workers" select tasks according to their own benefits. However, users on social media services can also serve as candidate "workers" for crowdsourcing tasks, and it is possible for the "requesters" to actively manage the quality and cost of such crowds. In this talk, we will first review the basic concept of crowdsourcing and its applications. Then, we will discuss the current popular crowdsourcing platforms and several interesting crowdsourcing related algorithms. Finally, we will discuss the benefits of using social media services as the crowdsourcing platform and propose several research challenges on managing the wisdom of crowds on social media.
Prof. Lei CHEN
Date & Time
11 Jun 2013 (Tuesday) 16:30 - 17:30
J214 (University of Macau)
Department of Computer and Information Science
Lei Chen received the BS degree in Computer Science and Engineering from Tianjin University, Tianjin, China, in 1994, the MA degree from Asian Institute of Technology, Bangkok, Thailand, in 1997, and the PhD degree in computer science from the University of Waterloo, Waterloo, Ontario, Canada, in 2005. He is currently an Associate Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. His research interests include crowd sourcing on social media, social media analysis, probabilistic and uncertain databases, and privacy-preserved data publishing. So far, he has published nearly 200 conference and journal papers. He got the Best Paper Awards in DASFAA 2009 and 2010. He is PC Track Chairs for VLDB 2014, ICDE 2012, CIKM 2012, SIGMM 2011. He has served as PC members for SIGMOD, VLDB, ICDE, SIGMM, and WWW. Currently, he serves as an Associate Editor for IEEE Transaction on Data and Knowledge Engineering and Distribute and Parallel Databases. He is a member of the ACM and the chairman of ACM Hong Kong Chapter.