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1st CFP: Emotion Modeling and Detection in Social Media and Online Interaction (Emotions@AISB 2018)

From: Viviana Patti <patti@di.unito.it>
Date: Wed, 22 Nov 2017 14:48:03 +0100
To: public-sentiment@w3.org
Message-ID: <d59f1cef-769a-1ca3-9fbe-d8ac50a1e10d@di.unito.it>

1st Call for Papers

Emotion Modeling and Detection in Social Media and Online Interaction 
(Emotions@AISB 2018)


The symposium is part of the AISB 2018 Convention - 4th - 6th April 2018 
- Liverpool, UK



The worldwide diffusion of social media has profoundly changed the way 
we communicate and access information. Social media is changing the way 
people interact with each other and share information, personal 
messages, and opinions about situations, objects and past experiences. 
Increasingly, people interact with each other to share opinions about 
commercial products on dedicated platforms, report their personal 
experiences on microblogging and social networking sites, try to solve 
domain-specific problems through collaborative knowledge building and 
sharing in online question and answering.

On one hand user-generated content comprise an invaluable wealth of 
data, ready to be mined for training predictive models. As such, 
microblogging and online interaction analysis are attracting the 
interest of researchers and practitioners in NLP, machine learning, big 
data analysis. Indeed, analysing opinions and emotions conveyed by 
microposts can yield a competitive advantage for businesses, can serve 
to gain crucial insights about political sentiment and election results 
or other social issues.

On the other hand, the pervasive use of online social media in 
computer-mediated communication, is opening new challenges for social 
sciences and human-computer studies. Indeed, one of the biggest 
drawbacks of communication through social media is to appropriately 
convey and recognize sentiment through text. While display rules for 
emotions exist and are widely accepted for traditional face-to-face 
interaction, people might not be prepared for effectively dealing with 
the barriers of social media to non-verbal communication. As a 
consequence, the design of systems and mechanisms for fostering 
emotional awareness in computer-mediated communication is becoming an 
important technical and social challenge for research in 
computer-supported collaborative work and social computing.

When talking about sentiment analysis and emotional style of a text, 
researchers usually refer to a wide range of affective states including 
emotions, such as joy or fear, moods, opinions, attitudes, as well as 
continuous dimensions for sentiment characterization, such as valence 
(positive vs. negative) or intensity (high vs. low). Specifically, the 
analysis of online user-generated contents presents its own 
specificities and challenges due to their characteristics, language use, 
and to the huge available volume of data. Sentiment analysis on such 
informal texts also poses new challenges due to the presence of slang, 
misspelled words and micro-blogging features such as hashtags or links 
and traditional approaches may not be successfully exploited in this domain.

The aims of this symposium include: presenting the state of the art in 
emotion modelling and tools for online interaction; fostering discussion 
around interdisciplinary research area at the intersection between 
cognitive sciences, computational linguistics, and social computing; 
enhancing the state of the art in affect recognition in social media; 
discuss challenges and opportunities of research and ethical concerns 
and applications addressing the role of sentiment and emotions in 
computer-supported cooperative work and online interaction on social 
media, with a special focus on education, entertainment, health, 
e-government, games, hate speech monitoring, etc.


Topics of interest include, but are not limited to, the following:

     Time evolving opinion and sentiment analysis

     Stance detection in online debates on controversial topics

     Applications of sentiment analysis and emotion detection in social 
media to education, entertainment, health, e-government, games, hate 
speech monitoring

     Reusable tools and frameworks

     Ethical issues in affect and opinion detection in user-generated 

     Affect sensing in online question & answering sites and social 

Types of Contribution and Guidelines for Submissions

We invite different  kinds of submissions to allow researchers to 
present and discuss studies at different stages of maturity, from early 
stage research or study design, to full papers reporting empirical 
studies, theoretical frameworks and their evaluation, experience 
reports, and so on.

Possible types of contributions include:

- Full papers (6-8 pages) describing emotion modeling and recognition 
challenges, needs, novel approaches, and frameworks. Empirical 
evaluation papers are also welcome.
- Short position papers (3-4 pages) describing a new idea or work in 
- Posters, data showcase and demo papers (1-2 pages) summarizing a 
research project, tool, technique or datasets.

Three members from the international program committee will review each 
submission. Papers will be evaluated based on their originality, 
relevance to the symposium, and their potential for discussion. The 
papers with the best reviews will be accepted to be presented and 
discussed in the workshop.

All papers must conform, at time of submission, to the AISB formatting 
guidelines. All submissions must be in English. Papers must be submitted 
electronically, in PDF format at the following website: 

All accepted 
papers will distributed to the participants and authors will be invited 
to present their research at the symposium.

Important dates

- Deadline for submissions:  January 5,  2018

- Notification of acceptance:  February 5, 2018

- Final versions to be submitted for inclusion in proceedings: March 5, 2018

- Symposium date: TBC (during 4th-6th) April, 2018


Francesca D’Errico, University of Roma-Tre, Italy

Floriana Grasso, University of Liverpool, UK

Malvina Nissim, University of Groningen, NL

Nicole Novielli, University of Bari, Italy

Viviana Patti, University of Torino, Italy

Program Committee*
*still to be completed

Alessandro Ansani, University of Rome 3, Italy

Ruth Aylett, Heriot-Watt University, UK

Francesco Barbieri, Pompeu Fabra University, Spain

Pierpaolo Basile, University of Bari, Italy

Valerio Basile, Sapienza University, Italy

Erik Cambria, Nanyang Technological University, Singapore

Chloé Clavel, Telecom-ParisTech, France

Mihaela Cocea, University of Portsmouth, UK

Danilo Croce, Tor Vergata University, Italy

Rossana Damiano, Università di Torino, Italy

Celso De Melo, University of Southern California, USA

Anna Esposito, Seconda Università di Napoli (SUN) and IIASS, Italy

Valentina Franzoni, University of Perugia, Italy

Marco Guerini, Fondazione Bruno Kessler (FBK), Italy

Delia Irazu Hernandez Farias, Universitat Politècnica de València, 
Spain/University of Turin, Italy

Emiliano Lorini, IRIT-CNRS, Toulouse, France

Saif Mohammad, NRC, Canada

Alessandro Moschitti, Qatar Computing Research Institute, Qatar

Marinella Paciello, Nettuno University, Italy

Isabella Poggi, University of Rome 3, Italy

Paolo Rosso, Universitat Politècnica de València, Spain

Diana Santos, University of Oslo, Norway

Björn Schuller, University of Passau, Germany and Imperial College 
London, UK

Mohammad Soleymani, University of Geneva, Switzerland

Khiet Truong, University of Twente, Netherlands

Carlo Strapparava, Fondazione Bruno Kessler (FBK), Italy

Alessandro Valitutti, University of Bari, Italy

Enrico Zovato, Nuance Communications, USA
Received on Wednesday, 22 November 2017 13:48:40 UTC

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