Dear colleagues,

Do you have any work in machine learning and AI that is applicable to
social media?  If so, please consider submitting to the 9th International
Workshop on Modeling Social Media (MSM 2018) co-located with the ACM WWW
2018 conference in Lyon, France.

The call for papers is attached and also inserted here inline.  The
deadline is January 10, 2018 23:59 PM AoE Time.

Please forward to others who may be interested.

Thanks and wish everyone a Happy New Year 2018!

Alvin Chin
Senior Researcher, Machine Learning, BMW Technology Corporation, BMW Group
Co-chair, Modeling Social Media 2018 workshop


  ** Please forward to anyone who might be interested **
                      CALL FOR PAPERS
9th International Workshop on Modeling Social Media (MSM'2018)
Applying Machine Learning and AI for Modeling Social Media

        to be held on April 23-24, 2018, Lyon, France
               co-located with TheWebConf 2018

Important Dates:
** Submission Deadline: Jan 10, 2018
** Notification of Acceptance: Feb 14, 2018
** Camera-Ready Versions Due: Mar 4, 2018
** Workshop date: April 23-24, 2018 (exact date to be determined)

Workshop Organizers:
Martin Atzmueller, Tilburg University, Netherlands; [log in to unmask]
Alvin Chin, BMW Group, USA; [log in to unmask]
Christoph Trattner, MODUL University Vienna, Austria;
[log in to unmask]

We aim to attract researchers from all over the world working on applying
Machine Learning and AI models for social media data analytics and
predictive insights. Social networks such as Facebook, Twitter, and
LinkedIn have paved the way for generating huge amount of diverse,
streaming bit data in a short period of time. Such social media data
require the application of big data analytics to produce meaningful
information to both information consumers and data generators. Machine
learning and AI techniques are particularly effective in situations where
deep and predictive insights need to be uncovered from such social media
data sets that are large, diverse and fast changing. Following the
discussion at our workshop at WWW2017, we aim to focus on how to apply
machine learning and AI models, algorithms and systems for analytics and
predictive modeling on social media and the web. Contrary to last year’s
workshop, we would like to particularly invite researchers that are
interested in going beyond standard analytics approaches and try to
discover the intelligent information hidden in the large and fast-changing
social media data.

In this context, we would also like to invite researchers in the machine
learning, AI, natural language processing, data and web mining community to
lend their expertise to help to increase our understanding of the web and
social media. Overall, we are interested in receiving papers related to the
following topics which include but are not limited to:
• learning analytics methods or frameworks for social media, big data and
the web
• AI, machine learning and NLP techniques for social media, big data and
the web
• deep learning approaches and models for social media, big data and the web
• approaches for social influence learning
• learning methods for social link prediction
• methods for learning social activities and behavioral analytic metrics
• machine learning and AI models, algorithms and systems
• evaluation of machine learning and AI frameworks and metrics
• applications of machine learning and AI
• applications of any of the above methods and technologies

The goal of this workshop is to apply machine learning and AI approaches
and algorithms on social media, big data and the web.

Submissions: We solicit full research papers (4-8 pages), and short
papers (1-4 pages) both in the ACM conference paper style.
Papers should be submitted in EasyChair to

Program Committee:
* Mark Kibanov, University of Kassel, Germany
* Javier Luis Canovas Izquierdo, IN3-UOC
* Arkaitz Zubiaga, The University of Warwick
* Shlomo Berkovsky, CSIRO, Australia
* Michelangelo Ceci, Universita degli Studi di Bari, Italy
* Nico Piatkowski, TU Dortmund, Germany
* Denis Parra, Pontificia Universidad Catolica de Chile, Chile
* Bin Guo, Northwestern Polytechnic University, China
* Ulf Brefeld, Leuphana Universität Lüneburg, Germany
* Su Yang, Fudan University, China
* Geert-Jan Houben, Delft University of Technology, Netherlands

Contributions will be included in the Companion volume of TheWebConf 2018
conference, which will be published by ACM and included
in the ACM Digital Library. However, to make that happen at least one
author of the accepted paper has to register. At the time of submission of
the final
camera-ready copy, authors will have to indicate the already
registered person for that publication.

Any paper published by the ACM, IEEE, etc. which can be properly
cited constitutes research which must be considered in judging the
novelty of a TheWebConf submission, whether the published paper was in a
conference, journal, or workshop. Therefore, any paper previously
published as part of a WWW or TheWebConf workshop must be referenced and
extended with new content to qualify as a new submission to the
Research Track at TheWebConf conference.

Submission guidelines:
All submitted papers must
    * be written in English;
    * contain author names, affiliations, and email addresses;
    * be formatted according to the ACM SIG Proceedings template
with a font size no smaller than 9pt;
    * be in PDF (make sure that the PDF can be viewed on any
platform), and formatted for US Letter size;
    * occupy no more than six pages, including the abstract,
references, and appendices.

It is the authors’ responsibility to ensure that their submissions
adhere strictly to the required format.
Submissions that do not comply with the above guidelines may be
rejected without review.

All submissions must be entered into the reviewing system:

Martin Atzmueller, Tilburg University, Netherlands; [log in to unmask]
Alvin Chin, BMW Group, USA; [log in to unmask]
Christoph Trattner, MODUL University Vienna, Austria;
[log in to unmask]

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