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3rd EAI International Conference on Smart Objects and Technologies for Social Good

November 29–30, 2017 | Pisa, Italy

Social Media Sensing (SMS 2017)

Motivation of the Track:

Billions of users daily interact with social media platforms like Facebook, Instagram, Pinterest, Twitter, Google+, 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 of the Track:

This special section is seeking work in progress and position papers covering all aspects of Social Media Sensing. In particular, topics of interest include, but are not limited to:

  • Accessibility and OSMD
  • Advances in Social Media
  • Big Data Analysis for OSMD
  • Business Intelligence using OSMD
  • Data Mining and Machine Learning for OSMD
  • Decision-making models and OSMD
  • Economics and Social effects
  • Emotion Recognition
  • Event forecasting based on OSMD data
  • Fake news detection
  • Games and Social Media
  • Image Analysis
  • Lexicon Design
  • Prediction Analysis
  • Privacy and Security in OSMD
  • Recommendation systems for OSMD
  • Reputation and Trust
  • Sentiment Analysis
  • Smart City
  • Society Sensing
  • Social Graph Analysis
  • Social Media Trust
  • Video Analysis

Organizers:

Marco Furini, Dipartimento di Comunicazione ed Economia, Università di Modena e Reggio Emilia, Italy
Silvia Mirri, Dipartimento di Informatica - Scienza e Ingegneria, Università degli Studi di Bologna, Italy

Technical Program Committee:

  • Armir Bujari (Università di Padova)
  • Luis Carriço (University of Lisbon)
  • Marco Furini (Università di Modena e Reggio Emilia)
  • Federica Mandreoli (Università di Modena e Reggio Emilia)
  • Riccardo Martoglia (Università di Modena e Reggio Emilia)
  • Silvia Mirri (Università di Bologna)
  • Betty J. Mohler (Max Planck Institute)
  • Manuela Montangero (Università di Modena e Reggio Emilia)
  • Claudio Palazzi (Università di Padova)
  • Viviana Patti (Università di Torino)
  • Giovanni Pau (UPMC-LIP6, Paris)
  • Marco Prandini (Università di Bologna)
  • Eva Oliveira Gonçalves (Polytechnic Institute of Cávado and Ave)
  • Francisco Rangel (University of Valencia)
  • Marco Roccetti (Università di Bologna)
  • Erik Tjong Kim Sang (Meertens Institute, Amsterdam)
  • Paola Salomoni (Università di Bologna)
  • Maurizio Tesconi (CNR - Pisa)
  • Mike Wald (University of Southampton)