Accepted paper will be published within IEEE ISCC 2024 Proceedings
Welcome to the captivating and sometimes alarming world of social (media) sensing. This emerging field presents us with both challenges and opportunities across various disciplines, from computer science to psychology, from linguistics to economics. It's a dynamic landscape that demands our attention.
Imagine a world where every piece of data holds the potential to transform lives and reshape entire ecosystems. That's why we're thrilled to invite you to our upcoming workshop on social (media) sensing. We're seeking groundbreaking research, fresh perspectives, and real-world case studies that explore this fascinating realm from diverse interdisciplinary angles. Whether you're a data scientist, a sociologist, a linguist, or a philosopher, we want to hear from you!
Join us as we delve into the cutting-edge advancements, best practices, and potential pitfalls in social (media) sensing.
We are excited to share the abstract of the Social (Media) Sensing keynote speech
Contrasting Non-consensual Pornography and Other Online Abuses: Social Media at the Forefront
Sexting, the practice of sharing self-generated sexual content via online social networks, is increasingly popular but carries significant risks, notably non-consensual pornography (less accurately referred to as revenge porn), where recipients further distribute such content without the subject's consent. Traditional approaches advocate for educating individuals about the dangers of sexting to discourage its practice. However, this method has proven insufficient, as numerous individuals continue to suffer profound emotional, psychological, and societal consequences each year. Instead, in this talk we explore the issue from a technological perspective, presenting solutions and open research questions, when analyzing how online social platforms can and must contrast this phenomenon and other forms of online abuses effectively.
Given by Prof. Claudio Palazzi from the University of Padua
Claudio E. Palazzi is an Associate Professor of Computer Science in the Department of Mathematics at the University of Padua, where he leads the Mobile Lab Group and serves as the head of the B.Sc. and M.Sc. programs in Computer Science. He is a member of the steering committees for conferences such as IEEE CCNC, ACM GoodIT, ACM DroNet, and IFIP/IEEE Wireless Days. Additionally, he is an associate editor for the IEEE Transactions on Multimedia and the Elsevier Computer Networks journals. His research interests primarily focus on the design and analysis of Internet protocols, particularly in distributed sensing, mobile applications, multimedia entertainment, and social networks. He has co-authored over 200 papers on these topics and has been principal investigator (P.I.) on various research projects funded by the Italian, EU, and USA governments.
Big Data Analysis
Business Intelligence
Chatbots and ChatScript
Cloud Computing
Covid-19 analysis and prediction
Data Mining and Machine Learning
Decision-making models
Digital Twins
Economics and Social effects
Emotion recognition and description
Event forecasting
Ethical consideration
Fake news detection
Health-care services and applications
Human-Behavior
Image Analysis IoT sensing with human-in-the-loop
Language Analysis
Lexicon Design Prediction Analysis
Machine Learning
Mind Manipulation
Prediction methods
Privacy and Security
Recommendation Algorithms
Reputation and Trust
Semantic Web
Sentiment Analysis
Smart City and Environment
Society Surveillance
Social Graph Analysis
Social Media Trust
Text Analytics
Transport systems
Ubiquitous and pervasive crowd-sensing
Papers submission deadline: April 30 May 9
Notification of acceptance: May 10 May 13
Camera-ready paper due: May 20
Registration: May 15
Presentation date: June 26