Workshop on Social Media Visualization (SocMedVis)

Call for Papers

Workshop on Social Media Visualization (SocMedVis)
at the International AAAI Conference on Weblogs and Social Media (ICWSM’12)

4th June 2012, Dublin, Ireland

http://socmedvis.ucd.ie

Social media study and analysis brings researchers from many fields into a single setting. Even though the tasks of these researchers are varied, data visualization and analytics plays an important role. For industry and academics alike, visualization of social media data helps with hypothesis formation and supports the explanation of phenomena.

The Workshop on Social Media Visualization (SocMedVis) will be held in conjunction with the International AAAI Conference on Weblogs and Social Media (ICWSM’12) in Dublin on 4th June 2012. The workshop is a venue for presentation of research and applications of visualization of social media data.

The goal of the workshop is to bring together researchers and industry practitioners interested in visual and interactive techniques for social media analysis to discuss their potential application to the social sciences, humanities, and industry. We solicit contributions that discuss novel techniques and applications of visualization and visual analytics approaches to social media data sources.

Important Dates

  • Paper Submission Deadline: 2nd March 2012
  • Notification: 16th March 2012
  • Paper Camera-Ready Deadline: 2nd April 2012
  • Early registration for ICWSM’12: 6th April 2012
  • Workshop: 4th June 2012

Topics

We invite research, application, and position papers on the topic of
visualization and social media. Topics of interest include but are not
limited to:

  • Visual Analysis of Evolving Social Media Data
  • Interactive Techniques for Sentiment Analysis and Brand Perception
  • Visualization of Memes and Trends in Social Media
  • Visualization of Social Media for Media Studies
  • Social Media in Social Sciences and Humanities
  • Data Mining and Machine Learning in Social Media
  • Visual Analytics of Social Media in Industry
  • Formal Evaluation Techniques in Social Media
  • Systems and Languages for Social Media Analytics
  • Methodologies and Processes for Social Media Analysis
  • Collaborative Analysis of Text Corpora
  • Real-Time Visualization of Social Media Data
  • Visualization and Visual Text Analytics in Social Media
  • Visualization and Visual Analytics of Social Media Networks
  • Studies of Analytic Work on Social Media
  • Representations of Uncertainty in Text Analytics

Submissions

Papers are limited to 4 pages in length and should have a visualization or visual analytics component to them. Papers must be formatted according to AAAI guidelines. Papers in PDF format must be submitted using EasyChair by 2nd March 2012. A subset of the accepted papers will be invited for oral presentation at the workshop. All other accepted papers will be presented as posters during the poster session or interactive demo session.

The program will also include a madness session at the beginning of the workshop to allow anyone attending the workshop to briefly introduce themselves, their work, and state their positions and goals related to the scope of the workshop. If you are planning to attend the workshop you are welcome to send an email to conference organizers to ensure a slot in the madness session by 2nd April 2012.

We also plan to host a panel of researchers in social sciences and humanities and industrial researchers of varied perspectives on the application of visualization to academic disciplines and industry where visualization is needed to understand social media data.

For more information please visit the workshop web page at
http://socmedvis.ucd.ie or email socmedvis@ucd.ie.

Organisers

  • Daniel Archambault, University College Dublin, daniel.archambault@ucd.ie
  • Eser Kandogan, IBM Research, eser@us.ibm.com
  • Martin Harrigan, University College Dublin, martin.harrigan@ucd.ie
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About Craig Anslow

Craig Anslow is a software visualization researcher understanding multi-touch table user interfaces with respect to software visualization.
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