Call for Papers: 4th International Workshop on Modeling Social Media (MSM’2013)

CALL FOR PAPERS
4th International Workshop on Modeling Social Media (MSM’2013)
Mining, Modeling and Recommending “Things” in Social Media

http://www.kde.cs.uni-kassel.de/ws/msm2013/
to be held on May 1, 2013, Paris, France
co-located with ACM Hypertext 2013

Important Dates:

  • Submission Deadline: Feb 04, 2013
  • Notification of Acceptance: Feb 18, 2013
  • Final Papers Due: February 28, 2013
  • Workshop date: May 1, 2013

In our first workshop on Modeling Social Media (MSM 2010 in Toronto, Canada), we explored various different models of social media ranging from user modeling, hypertext models, software engineering models, sociological models and framework models. In our second workshop (MSM 2011 in Boston, USA), we addressed the user interface aspects of modeling social media. In our third workshop (MSM 2012 in Milwaukee, USA), we looked at the collective intelligence in social media, i.e. making sense of the content and context from social media websites such as Facebook, Twitter, Google+ and Foursquare by analyzing tweets, tags, blog posts, likes, posts and check-ins, in order to create a new knowledge and semantic meaning. With this year’s workshop we aim to attract researchers from all over the world working in the field of social media mining, modeling and end-user applications. In particular, we would like to invite researchers working on the important field of “recommender systems” for social media which is gaining more and more in importance due to the increasing information overload problem.

The goal of this workshop is to continue our vibrant discussion on social media mining and modelling with a special focus on recommender systems for social media applications. Hence, the workshop aims to attract and discuss various novel aspects of social media mining, modelling and doing recommendations on top of these data/models. In short the workshop invites topics such as social media mining methods/techniques, novel approaches to model users or things in social media, frameworks to harvest and/or display social media data and new social media recommender methods/techniques/algorithms or interfaces supporting users for instance in information finding, meta-data application etc. Thus, our goal is to bring together researchers and practitioners from all over the world with diverse backgrounds interested in 1) exploring different perspectives and approaches to mine (complex) and analyse social media data, 2) modelling social media users and 3) building applications such as recommender systems on top of this data/models.

We invite submissions which may include the following topics, but are not limited to:

  • novel mining methods/techniques or approaches for social media
  • novel approaches to model users or things in social media
  • novel frameworks to harvest and/or display social media data
  • novel recommender methods/techniques/algorithms or interfaces to recommend “things” to people in social media
  • new visualisation approaches for recommender systems in social media
  • evaluation methods/techniques/reports for mining/modelling or recommending things/people in social media
  • privacy and security issues or constraints in social media mining/modelling and recommendations
  • scalability issues of mining, modelling and recommending people/things/etc. in social media
  • novel (social media) datasets (incl. a detailed description) which are of potential interest for researchers all over the world working in the field of social media mining/modelling/analytics and/or recommender systems

Submissions: We solicit short position papers (1-2 pages) and peer-reviewed research papers (4-8 pages) in the ACM conference paper style.

Please submit your papers using the EasyChair system at https://www.easychair.org/conferences/?conf=msm2013.

If you have any questions regarding the workshop or the submission, please email msm2013@googlegroups.com.

Workshop Organizers:

  • Alvin Chin, Nokia, Beijing
  • Martin Atzmueller, University of Kassel, Germany
  • Christoph Trattner, Graz University of Technology, Austria

Program Committee:

  • Alejandro Bellogin, Universidad Autónoma de Madrid, Spain
  • Robin Burke, de Paul, USA
  • Javier Luis Canovas, Izquierdo INRIA, France
  • Ed Chi, Google, USA
  • Padraig Cunningham, University College Dublin, Ireland
  • Munmun De Choudhury, Microsoft Research, USA
  • Daniel Gayo-Avello, University of Oviedo, Spain
  • Michael Granitzer, University of Passau, Germany
  • Geert-Jan Houben, TU-Delft, Netherlands
  • Alexander Felfernig, TU-Graz, Austria
  • Jill Freyne, CSIRO ICT Center, Australia
  • Kris Jack, Mendeley, UK
  • Thomas Kannampallil, University of Texas, USA
  • Alexandros Karatzoglou, Telefonica, Spain
  • Florian Lemmerich, University of Wuerzburg, Germany
  • Claudia Müller-Birn, FU Berlin, Germany
  • Else Nygren, Uppsala University, Sweden
  • Denis Parra, University of Pittsburgh, USA
  • Haggai Roitman, IBM Research, Israel
  • Alan Said, TU- Berlin, Germany
  • James She, Hong Kong University of Science and Technology, Hong Kong
  • Markus Strohmaier, TU Graz, Austria
  • Gerd Stumme, University of Kassel, Germany
  • Claudia Wagner, Joanneum Research, Austria
  • Zhiyong Yu, Institut Telecom Sud de Paris, France
  • Shengdong Zhao, National University of Singapore, Singapore
  • Arkaitz Zubiaga, New York City University, USA

Proceedings: All accepted papers will be included in the workshop proceedings and will be published in the ACM Digital library