Sanjay Kairam, Stanford University
Michael J. Brzozowski, Google
David Huffaker, Google
Ed H. Chi, Google
As people move an ever-increasing proportion of their social interactions online, the consequences of ‘over-sharing’ in a new medium have been brought sharply into focus. If users are aware of the consequences of over-sharing, then why do they continue to share so much? This question constitutes what Barnes has called the ‘privacy paradox‘. In this paper, we study Google+ to provide a first empirical study of behavior in an online social network (OSN) designed to facilitate selective sharing.
Continue reading →
Yotam Gingold, Columbia University & Rutgers University
Ariel Shamir, The Interdisciplinary Center, Herzliya
Daniel Cohen-Or, Tel-Aviv University
Many graphics and vision problems are very simple for humans and difficult for computers. For example, it is simple for people to recognize, organize, segment, align, or correspond images and 3D objects. In contrast, the amount of research in the field towards solving these problems indicates how difficult they are for pure machine computation.
We advocate a tight integration of human computation into online, interactive graphics and vision algorithms. Our key idea is to decompose a problem into a massive number of very simple, carefully designed, human micro-tasks that are based on perception, and whose answers can be combined algorithmically to solve the original problem. We present three specific examples for the design of Micro Perceptual Human Computation algorithms to extract depth layers and image normals from a single photograph, and to detect bilateral symmetry of objects in an image.
Continue reading →
Wesley Willett, University of California, Berkeley
Jeffrey Heer, Stanford University
Maneesh Agrawala, University of California, Berkeley
Social data analysis – in which large numbers of collaborators work together to make sense of data – is increasingly essential in a data-driven world. However, existing social data analysis tools don’t consistently produce good discussion or useful analysis. Our recent work shows how analysts can enlist paid crowd workers to systematically generate explanations for trends and outliers at scale and demonstrates techniques for encouraging high-quality contributions.
In our workflow, analysts automatically or manually select charts showing trends and outliers in a dataset, then use crowd workers to iteratively generate and rate the best candidate explanations for those features.
Continue reading →
Travis Kriplean, Computer Science & Engineering, U. Washington
Michael Toomim, Computer Science & Engineering, U. Washington
Jonathan Morgan, Human Centered Design & Engineering, U. Washington
Alan Borning, Computer Science & Engineering, U. Washington
Lance Bennett, Political Science, Communication, U. Washington
Andrew Ko, The Information School, U. Washington
Communication is about listening as much as speaking. Unfortunately, our web interfaces have thus far paid scant attention to supporting listening, creating a feedback gap and likely contributing to the scorched earth nature of our web dialogue. We have designed Reflect, a simple interface for encouraging listening, and deployed it on Slashdot. As a by product of their acts of listening, commenters open up new possibilities for crowd-sourced discussion summarization.
Continue reading →
Harnessing Collective Intelligence with Games is the 1st international Workshop on Systems with Homo Ludens in the Loop. The paper deadline is extended till May 1st. We hope to see you in Bremen. Please find more information here: http://www.informatik.uni-bremen.de/gci2012/
CALL FOR PAPERS
CroWE 2012
1st International Workshop on Crowdsourced Web Engineering
One-day workshop to be held at ICWE 2012, 23-27 July 2012, Berlin, Germany.
http://crowe.ethz.ch
Submission Deadline: 18 May 2012
Continue reading →
Workshop on Social Computing and User Generated Content
http://yiling.seas.harvard.edu/sc2012/
June 7, 2012, Valencia, Spain
In conjunction with the
ACM Conference on Electronic Commerce (ACM-EC 2012)
SUBMISSIONS DUE April 9, 2012, midnight Hawaii time
Continue reading →
A quick note that the HCOMP ’12 submission deadline is extended till next Monday, April 2nd. Hope to see many of you in Toronto this summer. See http://www.humancomputation.com for details.
Call For Papers:
KDD 2012 Workshop on Crowdsourcing and Data Mining
Beijing, China, August 12, 2012
http://www.cse.ust.hk/~nliu/crowdkdd12/
In recent years, the emergence of powerful crowdsourcing platforms
such as Amazon’s Mechanical Turk, Livework, Crowdflower, DoMyStuff,
etc, has greatly broadened the scope of applications that can utilize
crowd intelligence via novel computational and economical mechanisms.
We are only beginning to understand how the landscape of our field is
going to change when the crowd is becoming an integral part of the
entire data mining process from data collection, modeling to
evaluation. The goal of this workshop is to bring together interested
researchers in order to shape a vision of the important research
challenges posed to the data mining community by crowdsourcing.
Continue reading →
Q. Vera Liao, University of Illinois at Urbana-Champaign
Claudia Wagner, DIGITAL-Institute for Information and Communication Technologies
Wai-Tat Fu, University of Illinois at Urbana-Champaign
Twitter users choose to follow “insiders” of fields they are interested in knowing, even though they do not necessarily know them in person. External recommendation system that suggests expert accounts of a particular field for users to follow is a useful tool for this purpose. However, we questioned the accuracy and overall user experience of such system by analyzing the topical relevance based on users’ published contents (aka, Tweets), which is the major trend of Twitter recommendation system in use.
Continue reading →
