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
(Read the full Letter from the Editors here:
http://goo.gl/i4hRuC)
This issue features:
# Opinion · Crowdsourcing and the Semantic Web: A Research Manifesto #
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.
→ read now:
http://goo.gl/HrKY8Y
# Research· Privacy in Participatory Research: Advancing Policy to support Human
Computation #
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 ·
→ read now:
http://goo.gl/7CT92Q
# Research· Home is Where the Lab is: A Comparison of Online and Lab Data From a
Time-sensitive Study of Interruption #
Is it possible to engage the crowd online in long-duration, time-sensitive tasks that
require continuous concentration?
· Sandy J. J. Gould et al. ·
→ read now:
http://goo.gl/TAefPW
# Research· Crowdsourcing the mapping problem for design space exploration of custom
reconfigurable architecture designs #
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. ·
→ read now:
http://goo.gl/9SYmBu
# Research· Crowds of Crowds: Performance based Modeling and Optimization over Multiple
Crowdsourcing Platforms #
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. ·
→ read now:
http://goo.gl/B3T05o
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https://www.facebook.com/hcjournal and
https://www.linkedin.com/groups/Human-Computation-interdisciplinary-journal… . If
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