Emoji2018: 1st International Workshop on Emoji Understanding and Applications in Social Media
Co-located with The 12th International AAAI Conference on Web and Social Media (ICWSM-18)
June 25th, 2018. Stanford, California, USA.
Workshop Website -
http://knoesis.org/resources/Emoji2018/
Paper Submission Website -
https://easychair.org/conferences/?conf=emoji2018
Call for Papers
With the rise of social media, emoji have become an extremely popular form of communication in social media. They are equally popular across major social media sites
including Facebook, Instagram, and Twitter. As of 2017, Facebook and Facebook Messenger process over 60 million and 6 billion messages with emoji per day, respectively. In 2015, Instagram reported that nearly half of the photo comments posted on Instagram
contains emoji and Instagram users tend to replace slang terms using emoji in photo comments. Another study revealed that emoji are slowly taking over emoticons on Twitter. Emoji data generated on social media sites have been utilized to study how emoji are
used across different languages, cultures, user communities and as features to learn machine learning models to solve problems that span across many applications, including sentiment analysis, emotion analysis, and sarcasm detection. The ability to automatically
process, derive meaning, and interpret text fused with emoji will be essential as society embraces emoji as a standard form of online communication. Thus, Emoji2018 tries to bring together computer and social science researchers and practitioners from both
academia and industry to discuss and exchange ideas on understanding social, cultural, communicative, and linguistic roles of emoji while leading the discussions on building novel computational methods to understand and interpret them.
Emoji2018 is focused on research and discussions on challenges in emoji understanding, including but not limited to the following research directions.
We encourage submissions that utilize quantitative, qualitative and mixed research methods to approach the above challenges as contributions. We invite regular technical
papers (8 pages), short papers (4 pages), and demo proposals (2 page). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this workshop. Submissions will be evaluated
by the program committee based on the quality of the work and its fit to the workshop themes. All submissions should be double-blind and use the
AAAI 2018 Author Kit for formatting. A high-resolution PDF of the paper should be
uploaded to the EasyChair submission site before the paper submission deadline.
Important Dates
Abstract Submission: March 24th, 2018 (23:59, anywhere on earth).
Author Notification: April 3rd, 2018.
Camera-ready Paper Due: April 10th, 2018.
Workshop Day: June 25th, 2018.
Organizing Committee
Sanjaya Wijeratne - Kno.e.sis Center, Wright State University, Dayton, USA
Emre Kiciman - Information and Data Sciences Group, Microsoft Research AI, Redmond, USA
Horacio Saggion - Department of Information and Communication Technologies, Universitat Pompeu Fabra, Spain
Amit Sheth - Kno.e.sis Center, Wright State University, Dayton, USA
Program Committee
Umashanthi Pavalanathan, Georgia Institute of Technology
Derek Doran, Kno.e.sis Center, Wright State University
Lakshika Balasuriya, Gracenote Inc.
Wei Ai, University of Michigan
Hannah Miller, University of Minnesota
Jacob Eisenstein, Georgia Institute of Technology
Francesco Barbieri, Universitat Pompeu Fabra
Jacob Thebault-Spieker, Virginia Polytechnic Institute and State University
Miguel Ballesteros, IBM T.J. Watson Research Center
Rachael Tatman, Kaggle
Tyler Schnoebelen, Integrate.ai
Petra Kralj Novak, Jožef Stefan Institute
Ian Wood, The Insight Centre for Data Analytics
Bjarke Felbo, Massachusetts Institute of Technology
Erik Cambria, Nanyang Technological University
Sarasi Lalithsena, IBM Almaden Research Center
Francesco Ronzano, Universitat Pompeu Fabra
Contact
Sanjaya Wijeratne -
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| Horacio Saggion - [log in to unmask] | Amit Sheth -
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