[Infovis] 2nd CFP SoHuman 2014 @SocInfo2014 (3rd Int. Workshop on Social Media in Crowdsourcing and Human Computation)
A.Bozzon at tudelft.nl
Fri Aug 15 12:51:52 CEST 2014
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2nd C A L L F O R P A P E R S
3rd International Workshop on Social Media in
Crowdsourcing and Human Computation
at SocialInformatics (SocInfo) 2014, Barcelona
*THEME*: Socially-aware Crowdsourcing – The Value of the Human Touch
*SUBMISSION DEADLINE*: August 24th, 2014
*NOTIFICATION OF ACCEPTANCE*: September 19th, 2014
Aims and Scope
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 conceptualise 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 collaborativ 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 conceptualise 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 (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
All submissions must be done online via the SoHuman 2014 EasyChair submission system: https://easychair.org/conferences/?conf=sohuman2014
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 / Univ. of Appl. Sciences Stralsund)
* 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: sohuman2014 at eipcm.org
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 Sheffield
Aaron Shaw, Northwestern University
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