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.

On one hand user-generated content comprise an invaluable wealth of data, ready to be mined for training predictive models. 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 as one of the biggest drawbacks of communication through social media is to appropriately convey and recognize sentiment through text. Furthermore, the sentiment analysis and emotion recognition in online user-generated contents presents its own specificities and challenges due to their characteristics, language use, and to the huge available volume of data.

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 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, egovernment, games, hate speech monitoring, etc.


The symposium is part of the AISB 2018 Convention