Attached is the announcement and table of contents of a new issue of the open-access journal "Human
Computation". No Wikipedia-themed papers this time, but maybe certain articles are still interesting to some on this list.
Gruß,
Fabian
Human Computation
– A Transdisciplinary Journal
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Volume 2 • Issue 1 • August 2015
Dear Reader,
Recent gatherings have inspired researchers to address field development challenges in human computation head-on via cogent
analysis and carefully conceived recommendations. Some of these key community findings, both technical and ethical, are presented herein. We interpret these activities as a positive signal of community growth and field maturation.
Collectively yours,
Pietro Michelucci & Elena Simperl, Co-Editors-in-Chief
This issue features:
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Opinion · Crowdsourcing and the Semantic Web: A Research Manifesto
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A roadmap guides the evolution of new research that is emerging at the exciting intersection of crowdsourcing
and the Semantic Web.
· Cristina Sarasua et al.
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Research·
Privacy in Participatory Research: Advancing Policy to support Human Computation
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How do privacy-related policies align with actual practices in participatory systems? This study surveys
the policies of 30 participatory research projects and finds that many host incomplete policies or inaccurately describe their practices.
· Anne Bowser-Livermore & Andrea Wiggins ·
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Research·
Home is Where the Lab is: A Comparison of Online and Lab Data From a Time-sensitive Study of Interruption
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Is it possible to engage the crowd online in long-duration, time-sensitive tasks that require continuous concentration?
· Sandy J. J. Gould et al. ·
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Research·
Crowdsourcing the mapping problem for design space exploration of custom reconfigurable architecture designs
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Coarse grained reconfigurable architectures (CGRAs) hold great promise for the portable/wearable electronics domain. This study demonstrates
one way that the crowd can provide reliable mappings, outperforming a custom Simulated Annealing algorithm.
· Anil Kumar Sistla et al. ·
#
Research·
Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms
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How can statistical simulations of crowds be used to optimize crowd-worker performance over multiple platforms? A platform recommendation
tool can help.
· Sakyajit Bhattacharya, et al. ·