[hpc-announce] CFP: SOCIAL MEDIA SENSING (IEEE ICCCN - Valencia July 29 - August 1, 2019)

[Manuela Montangero]

CALL FOR PAPERS

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
15 March 2019
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

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Manuela Montangero
Dip. di Scienze Fisiche, Informatiche e Matematiche
Universita' di Modena e Reggio Emilia
manuela.montangero at unimore.it