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Jasminko Novak <[log in to unmask]>
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********************* 1st CALL FOR PAPERS *********************

                                        SoHuman 2014

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

                 at SocInfo 2014, November 10, Barcelona

                 Submission deadline: August 24, 2014


********************* 1st 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, CrowdFlower) 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 applications
* 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 system). 

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. 

•	Abstract submission: August 17, 2014  (recommended)
•	Paper submission: August 24, 2014
•	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)

Contact: [log in to unmask]

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
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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