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SoHuman 2014 : 3rd International Workshop on Social Media in Crowdsourcing and Human Computation


When Nov 10, 2014 - Nov 10, 2014
Where Barcelona
Submission Deadline Sep 5, 2014
Notification Due Sep 19, 2014
Final Version Due Oct 3, 2014
Categories    crowdsourcing   human computation   social media

Call For Papers

********************* DEADLINE EXTENSION *********************

SoHuman 2014

3rd International Workshop on Social Media
in Crowdsourcing and Human Computation

at SocInfo 2014, November 10, Barcelona

Submission deadline: Sept 5, 2014 (EXTENDED!)

************************ CALL FOR PAPERS ***********************

THEME: Socially-aware Crowdsourcing – The Value of the Human Touch

This workshop aims at bringing together researchers and practitioners from
different research communities at the intersections between computer science
and social sciences to explore the challenges and opportunities of novel
approaches to collective intelligence, crowdsourcing and human computation
that address social aspects as a core element of their design principles,
implementations or scientific investigation.

This years theme of the workshop highlights the intersections between the
perspectives of computer science and the social sciences, such as:
How can the experience gained from the design of crowdsourcing applications
inform the development of new approaches to collective intelligence and social
computing on the web? Can we conceptualize specific classes of human
computation as instances of different forms of social collaboration?
And vice versa: what lessons from the broader domain of the study of
large-scale social systems 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, with the latter embedding human users as a part of intelligent
computational systems. They both leverage human reasoning to solve
complex tasks that are easy for individuals but difficult for purely computational
approaches (human computation) or for traditional organisational work
arrangements (crowdsourcing). Effective realisations of these paradigms
typically require participation of a large number of distributed users over the
Internet, a careful design of task structures, participation incentives and
mechanisms for coordinating and aggregating results of individual
participants into collective solutions.

Though rarely explicitly addressed as such, social media and related
technologies often provide the enabling methods and technologies for the
realisation of such models. Examples include crowdsourcing marketplaces
(e.g. Amazon mTurk), crowdsourcing service providers (e.g. Microtask) or
games with a purpose. While centralised platforms are also at the core of
"traditional" approaches to collective intelligence (e.g. Wikipedia), attention
is increasingly turning to the possibilities of harnessing existing social
platforms (e.g.Facebook, Twitter) that already gather huge numbers of
users into webs of social relationships.

For instance, such relationships allow the development of new kinds of task
routing mechanisms (e.g. identifying the best or most trusted participants for a
specific task), while social incentives can reflect community-like phenomena
(e.g. the reputation economy). This is already leading to experiments such
as expert-based crowdsourcing or solutions for task-injection across
distributed social platforms. It is also partially reflected in growing research
on inferring social influence, attention or trust from online social exchanges
with the aim of providing mechanisms for more effective information
exchanges or collective problem solving.

Socially-aware human computation and crowdsourcing systems call for
new work division and execution mechanisms, where the traditional individual
"tayloristic" model evolves into a collaborativa labour environment featuring
different kinds of communication and collaboration between the users going
beyond private exchanges between the task-owner and the task-solver.

This begs the question of how such more open, participatory models of
collective action can inform the development of new kinds of crowdsourcing
and human computation systems and approaches:

* Can we conceptualize specific classes of human computation as instances of
different forms of social collaboration?

* How can we design crowdsourcing and human computation systems where
the involvement of a large number of diverse human users as providers,
aggregators or "processors" of information leads to outcomes that benefit the
entire collective rather than only individual contributors or commissioners
of task assignments?

* How can the theory of collective action inform the design of such
collaborative approaches to socially-aware crowdsourcing and
human computation?

* What are the different sources of value of the "human touch" that can be
brought to bear through such new approaches?

Topics of interest include (but are not limited to):
* Social media in collective intelligence systems
* Use cases and applications of social media to crowdsourcing and
human computation
* Social incentive models for crowdsourcing and human computation
* Social-network analysis for crowdsourcing and human computation
* Applications of social media visualisation to collective intelligence
* Social coordination in crowdsourcing and human computation
* Social search and human computation
* Trust models for collective intelligence and crowdsourcing
* Semantic modelling 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

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.

We explicitly encourage contributions that address the importance of
domain-specific challenges or use cases as well as contributions that
enrich a computer science perspective with a user-centered view and
system-level social dynamics.

The workshop will accept:
• Regular research papers (6-8 pages)
• Applications / Demonstrators (4 pages)
• Position papers (2-4 pages)

Submissions should describe the innovative aspects of the work they present,
highlighting pros and cons with respect to related work. Demo proposals should
describe clearly what will be demonstrated and how the contributions will be
illustrated interactively. Optionally, proposals can include a URL that shows
a preliminary version of the demo (e.g., screenshots, videos, or a running

All submissions will be reviewed in a peer-review process by at least two
members of the program committee. All submission must be formatted
according to Springer LNCS paper formatting guidelines
( ).

All submissions must be done online via the SoHuman 2014 EasyChair
submission system:

At least one author of each paper will need to register for the conference and
attend the workshop to present the paper.

• Paper submission: Sept 5, 2014 (EXTENDED DEADLINE)
• Notification of acceptance: September 19, 2014
• Camera-ready papers: October 3, 2014
• Workshop date: November 10, 2014

Accepted workshop papers will appear in Springer Lecture Note Series in
Computer Science as part of the conference proceedings but we also allow
accepted papers to be presented without publication in the proceedings,
if the authors prefer to do so.

In addition, selected workshop papers will be invited for submission of an
extended version to a fast-track special issue of the interdisciplinary journal
Human Computation.

* Jasminko Novak (European Institute for Participatory Media)
* Alessandro Bozzon (Delft University of Technology)
* Piero Fraternali (Politecnico di Milano)
* Petros Daras (ITI CERTH)
* Otto Chrons (Microtask)
* Bonnie Nardi (UC Irvine)
* Alejandro Jaimes (Yahoo Research)


Klemens Böhm, Karlsruhe Institute of Technology
Marco Brambilla, Politecnico di Milano
Simon Caton, Karlsruhe Institute of Technology
Fausto Giunchiglia, University of Trento
Martha Larson, Delft University of Technology
Pietro Michelucci, Strategic Analysis, Inc.
Ville Miettinen, Microtask
Jasminko Novak, European Institute for Participatory Media
Naeem Ramzan, University of West of Scotland
Wolfgang Prinz, Fraunhofer FIT / RWTH Aachen
Marcello Sarini, University of Milano-Bicocca
Aaron Shaw, Northwestern University and Harvard Univ.
Mohammad Soleymani, University of Geneva
Maja Vukovic, IBM T.J. Watson Research
Lora Aroyo, VU University Amsterdam
Gianluca Demartini, University of Fribourg

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