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

SoHuman 2013 – 2nd International Workshop on Social Media for  
Crowdsourcing
and Human Computation, May 1, 2013, Paris

at ACM Web Science 2013
collocated with ACM HyperText'13 & ACM CHI'13 & ACM ECRC'13

http://eipcm.org/sohuman2013

********************************** 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 intelligence, 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  often provide the enabling methods and  
technologies for the
realization of such models. While centralized platforms are  at the  
core of “traditional”
approaches to both crowdsourcing (e.g. mTurk) and 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 intelligence systems?
•	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 task-solving?
•	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  
human computation
-	Social incentive models for crowdsourcing and human computation
-	Social-network analysis for crowdsourcing and human computation
-	Applications of social media visualization to collective  
intelligence applications
-	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

SUBMISSION GUIDELINES

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:
https://www.easychair.org/conferences/?conf=sohuman2013

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.

IMPORTANT DATES

•	Abstract submission: March 15, 2013  (recommended)
•	Paper submission: March 20, 2013
•	Notification of acceptance: April 3, 2013
•	Camera-ready papers: April 17, 2013
•	Workshop date: May 1, 2013

WORKSHOP PROCEEDINGS

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 may be
an opportunity to publish extended versions of the papers as a special  
issue in a major journal.

ORGANIZERS
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

Contact: Jasminko Novak, [log in to unmask]

PROGRAM COMMITTEE
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, DARPA
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, Geneva University
Maja Vukovic, IBM T.J. Watson Research
############################

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