News

2012-12-08: The web page for the workshop is now online.
MSM13: Call for Papers

2012-12-11: MSM 2013 now also on

2013-01-31: Paper submission deadline extended to February 11, 2013.

Important dates

Submission deadlines

  • Paper Submission - *Extended*: Monday, February 13 04, 2013
  • Acceptance Notification: Monday, February 25, 2013
  • Paper Final Version Due: Thursday, March 8, 2013
  • Workshop: May 01, 2013

Objectives

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.

Topics of Interest

Topics may include, 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

We also encourage submissions which relate research results from other areas to the workshop topics.

Workshop Organizers

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

Program

Invited Talk

  • Keynote: Network activity feed: finding needles in a haystack.
    Abstract: Most social networks deploy activity feeds as a means to keep users abreast of online activities carried out by other users. However, the volume of information in a feed may still overwhelm, calling for ways to tailor the feeds to the interests and needs of the users. In this talk, we will consider the activity feed item selection task as a personalised recommendation problem, and overview several recent works looking into the personalisation of social network activity feeds. We will analyse their building blocks, discuss the ways to put these blocks together, and identify gaps for future work.
    Bio: Shlomo Berkovsky is a senior researcher at the Next-Generation Content Discovery and Distribution project run by NICTA, Australia. The project is developing novel techniques for accurate personalisation and cost-effective delivery of catch-up and live TV services. Before joining NICTA, he was a senior research scientist and research team leader at CSIRO. Shlomo is interested in collaborative and content-based recommenders, mediation of user models, ubiquitous user modelling, context-aware personalisation, personalised persuasion, and privacy-enhanced recommendations. He is the author of more than 80 publications and the chair of the upcoming Persuasive Technology 2013 conference.

    • 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

    Submission and Proceedings

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

    Submissions: We solicit short position papers (1-2 pages) and peer-reviewed short/long research papers (4-8 pages) in the ACM conference paper style. All submissions must be entered into the reviewing system.


    At least one author of an accepted paper needs to register for the Hypertext 2013 conference (this includes the workshop) by March 10, and needs to present the paper at the MSM 2013 workshop.