[Air-L] CfP: 10th International Workshop on Modeling Social Media (MSM'2019) held at The Web Conference 2019 in SFO

Wed Jan 2 01:39:08 PST 2019

 ** Please forward to anyone who might be interested **
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                      CALL FOR PAPERS
10th International Workshop on Modeling Social Media (MSM'2019)
Mining, Modeling and Learning from Social Media

        to be held on May 14-17, 2019, San Francisco, USA
               co-located with TheWebConf 2019

                https://msmworkshop.github.io/
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Important Dates:
================
** Submission Deadline: Jan 10, 2019
** Notification of Acceptance: Feb 14, 2019
** Camera-Ready Versions Due: Mar 3, 2019
** Workshop date: May 13-14, 2019

Workshop Organizers:
====================
Martin Atzmueller, Tilburg University, Netherlands; m.atzmueller at uvt.nl
Alvin Chin, BMW Technology Corporation, USA; alvin.chin at bmwna.com
Christoph Trattner, University of Bergen, Norway; trattner.christoph at gmail.com

Program Committee:
==================
Alejandro Bellogin, Universidad Autonoma de Madrid, Spain
Javier Luis Canovas Izquierdo, IN3 - UOC, Spain
Michelangelo Ceci, Universita degli Studi di Bari, Italy
Michael Granitzer, University of Passau, Germany
Bin Guo, Institut Telecom Sud Paris, France
Eelco Herder, Radboud University, Netherlands
Geert-Jan Houben, Delft University of Technology, Netherlands
Ralf Klamma, RWTH Aachen University, Germany
Bart Knijnenburg, Clemson University, USA
Dominik Kowald, Know-Center, Austria
Florian Lemmerich, RWTH Aachen, Germany
Nico Piatkowski, AI Group, TU Dortmund, Germany
Haggai Roitman, IBM Research Haifa, Israel
Giancarlo Ruffo, Universita di Torino, Italy
Marc Smith, Connected Action Consulting Group, USA
Longqi Yang, Cornell University, USA
Arkaitz Zubiaga, The University of Warwick, UK

We aim to attract researchers from all over the world working on data
mining, modeling and using machine learning and AI for social media,
big and small data, sensor data and the web. 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 TheWebConf
2018, we aim to focus on how to apply data mining, recommendation,
machine learning and AI models, algorithms and systems for analytic
and predictive modeling on social media, big data, small data, web and
sensor data. 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.

Overall, we are interested in receiving papers related to the
following topics which include but are not limited to:
* predictive analytics methods or frameworks for social media, big
data, small data, sensor data and the web
* AI, machine learning, deep learning and NLP models, algorithms and
systems for social media, big data, small data, sensor data and the
web
* deep learning approaches and models for social media, big data,
small data, sensor data and data from/on the web
* data mining techniques and algorithms for social media, big data,
small data, sensor data and data from/on the web
* methods for learning social activities and behavioral analytic metrics
* evaluation of machine learning and AI frameworks and metrics
* explainability and transparency of the machine learning/deep
learning/AI methods
* applications of machine learning, deep learning and AI
* applications of any of the above methods and technologies

The goal of this workshop is to use data mining, machine learning and
AI approaches and algorithms on social media, big data, small data,
sensor data and data from/on 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
tohttps://easychair.org/my/conference.cgi?conf=msm2019

Proceedings:
============
Contributions will be included in the Companion volume of TheWebConf 2019
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 suitably
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
	(http://www.acm.org/sigs/publications/proceedings-templates)
	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:https://easychair.org/conferences/?conf=msm2019

Contact:
========
Martin Atzmueller, Tilburg University, Netherlands; m.atzmueller at uvt.nl
Alvin Chin, BMW Technology Corporation, USA; alvin.chin at bmwna.com
Christoph Trattner, University of Bergen, Norway; trattner.christoph at gmail.com

Follow us on:
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Facebook https://www.facebook.com/groups/527164050627185/
Twitter https://twitter.com/msm_workshop

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Dipl.-Ing. Dr.techn. Christoph Trattner BSc
Associate Professor
University of Bergen
Department of Information Science and Media Studies
Fosswinckelsgt. 6, 5007 Bergen, Norway
E-mail: christoph.trattner at uib.no
Tel: +43 650 2402801
Homepage: http://christophtrattner.info
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