CALL FOR PAPERS (Extended Deadline - Firm)
SOCIAL MEDIA SENSING WORKSHOP July 29 – August 1, 2019 Valencia, Spain in conjunction with the 28th International Conference on Computer Communications and Networks (ICCCN 2019) http://www.cs.unibo.it/~mirri/sms19/ http://www.icccn.org/icccn19/index.html
SUBMISSION DEADLINE April, 14, 2019 (FIRM) https://easychair.org/conferences/?conf=icccn2019
PUBLICATION IEEE Proceedings
SCOPE Billions of users daily interact with social media platforms such as Facebook, Instagram, Pinterest, Twitter, etc. The checking of the preferred social media platform is becoming the first thing to do at wake-up time, and the last thing to do before falling asleep. With no doubts, social media revolutionized the content ecosystem and the behavior of millions of people. Within social media, people communicate, collaborate and share information, and within Online Social Media Data (OSMD), it is possible to find contents and metadata about people, brands, products, services, personal preferences, issues, etc. Not surprisingly, OSMD are being used to understand people’s opinions and to measure citizens’ feelings. Indeed, this knowledge represents a critical factor in strategic decision processes, as it may be helpful in identifying problems and strengthening strategies. For instance, politicians may gauge the public mood to improve their political decisions, enterprise managers may increase customers engagement by tracking what people think about products and services, city administrators may analyze citizens’ opinions to enhance the life quality of the city, advertisers can improve the effectiveness of their messages by analyzing what people think of a brand. The use of OSMD to get insights about people and society is not trivial and covers many different disciplines, like computer science, social engineering, psychology, semiotics, and economics.
Topics: The workshop is seeking recent advances, novel proposals, best-practices, pitfalls and case studies in Social Media Sensing from different and inter-disciplinary points of view. In particular, topics of interest include, but are not limited to:
Accessibility of social media contents Advances in Social Media Big Data Analysis for OSMD Business Intelligence using OSMD Chatbots and ChatScript Cloud Computing Data Mining and Machine Learning for OSMD Decision-making models and OSMD Economics and Social effects Emotion recognition and description Event forecasting based on OSMD data Fake news detection Games and Social Media Health care services and applications Image Analysis IoT sensing with human-in-the-loop Lexicon Design Prediction Analysis Privacy and Security in OSMD Recommendation systems for OSMD Reputation and Trust Semantic Web Sentiment Analysis Smart City Society Sensing Social Graph Analysis Social Media Trust Text Analytics Ubiquitous and pervasive crowd-sensing Video Analysis
GENERAL CHAIRS: Marco Furini, University of Modena and Reggio Emilia, Italy Silvia Mirri, University of Bologna, Italy