****************** FINAL CALL FOR PAPERS *********************
SoHuman 2013 2nd International Workshop on Social Media
for Crowdsourcing and Human Computation
at ACM Web Science 2013 - May 1, 2013, Paris
ACM HyperText'13 & ACM CHI'13 & ACM ECRC'13
---> DEADLINE EXTENSION: March 24, 2013 <---
Supported by CUbRIK project: https://twitter.com/cubrikproject
******************* FINAL CALL FOR PAPERS ********************
GOALS OF THE WORKSHOP
This workshop invites researchers and practitioners from different
disciplines to explore the challenges and opportunities of applying
social media to designing novel applications of collective intel-
ligence, with a special focus on crowdsourcing and human computation.
We are particularly interested in contributions that consider
crowdsourcing and human computation in the broader context:
as specific instantiations of collective intelligence and social
computing on the web. How can the experience gained from the design
of crowdsourcing applications inform the development of new
approaches to collective intelligence? And vice versa: what
lessons from the broader domain of collective intelligence
can inform the design of new kinds of systems for crowdsourcing
and human computation?
Both crowdsourcing and human computation consider humans as
distributed task-solvers, leveraging human reasoning to solve complex
tasks that are easy for individuals but difficult for purely
computational approaches (human computation) or for traditional
organizational work arrangements (crowdsourcing). Though rarely explicitly
addressed as such, social media and related technologies often provide
the enabling methods and technologies for the realization of such models.
Examples include crowdsourcing marketplaces (e.g. Amazon Mechanical
Turk), crowdsourcingservice providers (e.g. Microtask, CrowdFlower) or
games with a purpose. While centralized platforms are also at the core
of traditional approaches to collective intelligence (e.g. Wikipedia),
attention is increasingly turning to harnessing existing social
platforms (e.g. Facebook, Twitter) that already gather huge numbers
of users into webs of social relationships.
Such Social Clouds pose both chances and challenges for new kinds
of approaches to crowdsourcing and human computation in particular and
to collective intelligence in general. On one hand, the intricate
social relationships allow the development of new kinds of task routing
mechanisms (e.g. identifying the best or most trusted participants for
a specific task). Incentive structures are intrinsically social and
tend to reflect community-like phenomena (e.g. the reputation economy),
thus differing strongly from single-user approaches in classical
crowdsourcing. This is already leading to early experiments such as
expert-based crowdsourcing or solutions for task-injection across
distributed social platforms. On the other hand, the design of such
socially distributed computing structures relates the fields of
crowdsourcing and human computation to the lessons from a broader
class of collective intelligence platforms and applications.
The need to interrelate these fields is reflected in questions such as:
How can we design effective incentive systems for large-scale
participation of human users in structured collective
How do we design tasks at different levels of complexity that can be
solved reliably through a composition of individual contributions?
How can we use intricate webs of social relationships of existing
social platforms for new models of coordination in distributed
How can distributed social media enable the design of new classes
of crowdsourcing applications (e.g. using social network analysis
for new ways of task-routing)?
How can the comparison of lessons from distributed problem-solving
in human computation and community-based approaches lead to novel
classes of collective intelligence applications?
We are especially interested in applications and investigations in a
range of domains such as collective action and social deliberation,
multimedia search and exploration, enterprise and medical applications,
cultural heritage, social data analysis or citizen science.
Topics include (but are not limited to):
- Social media in collective intelligence systems
- Use cases and applications of social media to crowdsourcing and
- Social incentive models for crowdsourcing and human computation
- HCI issues in crowdsourcing and human computation
- Social-network analysis for crowdsourcing and human computation
- Applications of social media visualization to collective
- Social coordination in crowdsourcing and human computation
- Social search and human computation
- Trust models for collective intelligence and crowdsourcing
- Semantic modeling in crowdsourcing and human computation
- Expert-based crowdsourcing
- Influence metering and social trust models
- Expertise-inference techniques and their application
to task routing
- Reputation systems for human computation
- Quality assurance in distributed human intelligence tasks
- Social sensing in crowdsourcing and human computation
- Domain-specific challenges in crowdsourcing and human computation
- Social sensing in human computation approaches
- Use cases and applications of social media for human computation
The workshop will accept:
Regular research papers (6-8 pages)
Applications / Demonstrators (4 pages)
Position papers (2-4 pages)
All submissions must be formatted according to ACM Web Science
submission guidelines (http://www.websci13.org/submission/)
and submitted through the SoHuman 2013 EasyChair system:
All submissions will be reviewed in a peer-review process by at least
two members of the program committee. At least one author of each paper
will need to register for and attend the workshop to present the paper.
Abstract submission: March 15, 2013 (recommended)
Paper submission: March 24, 2013
Notification of acceptance: April 3, 2013
Camera-ready papers: April 17, 2013
Workshop date: May 1, 2013
Results of the workshop (papers, findings from the discussion panel)
will be published as separate workshop proceedings (either as
Springer Lecture Notes in Computer Science or as CEUR-WS Proceedings).
Depending on the quality of the submissions there will also be an
opportunity to publish extended versions of the papers as a special
issue in a major journal.
Jasminko Novak, European Institute for Participatory Media, Berlin
Piero Fraternali, Politecnico di Milano
Petros Daras, ITI CERTH
Otto Chrons, Microtask
Alejandro Jaimes, Yahoo Research
Mark Klein, MIT Center for Collective Intelligence
Primary contact: Jasminko Novak, firstname.lastname@example.org
Klemens Bφhm, Karlsruhe Institute of Technology
Marco Brambilla, Politecnico di Milano
Simon Caton, Karlsruhe Institute of Technology
Fausto Giunchiglia, University of Trento
Gareth Jones, Dublin City University
Pietro Michelucci, Strategic Analysis, Inc.
Ville Miettinen, Microtask
Wolfgang Prinz, Fraunhofer FIT/RWTH Aachen
Naeem Ramzan, University of West of Scotland
Marcello Sarini, University of Milano-Bicocca
Aaron Shaw, Harvard University
Mohammad Soleymani, Imperial College London
Maja Vukovic, IBM T.J. Watson Research
The workshop is supported by the EU-FP7 CUbRIK project:
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