Conférences - Réseaux sociaux et aspects sociaux des technologies de l'information

ACM

In some application fields, automation will eventually remove humans from the loop, and autonomous systems will operate far away from any human agents. Not so with autonomous vehicles. Recent trends in urbanization are showing that future cities will flourish with human activity and autonomous vehicles will need to actively work with and around the humans. The development of autonomous vehicles can therefore not be undertaken without a better understanding of human nature. At the same time, with full autonomy, a fundamental paradigm shift will occur in how we, as humans and as a society, will see, perceive, and interpret the process of driving. This workshop brings together researchers from a variety of disciplines, including experts on social/behavioral, ethics, legal, and policy aspects, as well as researchers working on other heterogeneous systems that can serve as inspirations.

Part of the Long Program Mathematical Challenges and Opportunities for Autonomous Vehicles

Électrotechnique,    Robotique, automation & mécatronique

We live in an era where people are witnessing floods of data online, generated as a result of performing online activities, mainly social media. Some people publish deceptive or fabricated online stories, posts, and news to attract online users, change their state of mind, or make political or financial gains. It is typically carried out with the help of automatic bots to accelerate fake news dissemination. A multitude of research is going on for tracing the surge of falsehoods through automated fact-checking techniques. The developed solution should be fully automated, accountable, instant, and accurate. It should be able to extract sentences from textual or audio clips, distinguish between facts, opinions, and questions, examine and match the data, and finally yield the results with proper explanations. Therefore, Artificial Intelligence is the best suite solution that is being applied for the verification of the claims made in the published stories or news. Specifically, this process involves using Natural Language Processing (NLP), deep learning algorithms, and other AI tools to find, monitor, and match claims. There is vast potential in AI to control fake news spread on the Internet with the help of automated fact-checking. It involves societal, political, ethical, and financial aspects of society. It is an emerging domain that still requires many improvements in approach, tools, and platforms. This special track aims at providing a platform for academic and industrialist researchers and practitioners to exchange and publish the challenges, latest research trends, and results on fact-checking, fake news, and malware detection in online social networks (OSNs).

Fact-Checking, Fake News Detection, Malware Detection, Online Social Networks

Narasu's Sarathy Institute of Technology, Salem, Tamil Nadu, India.

The rapid proliferation of communication technologies and software engineering practices have witnessed the fast-growing research interests in information and communication technologies and social networking, which tends to play an integral part in our daily lives. In recent times, pervasive communication collect and share the information generated by its users and their surrounding environments. In the other hand, the Social Networking practices help to strengthen the awareness on almost all the cyber, physical and social environments. The International Conference on Pervasive Computing and Social Networking [ICPCSN 2021] promotes the development of pervasive communication systems and pursuing Social Networking applications for communication platforms, networks and devices. ICPCSN 2021 aims to collaborate and promote state-of-the-art research works on the conceptual, constructive, empirical, theoretical and practical implementations of pervasive Computing and Social Networking methods for developing more novel ideas and innovations in the emerging Information and Communication Technologies [ICT].

Tél.: [9486849591];     Email.: icpcsi.conf@gmail.com

Pervasive Computing: Ubiquitous networking and sensing models, Smart interface design models, Data mining techniques, Smart crowdsourcing and intelligent models, Human-Computer Interaction models, Social intelligence and computing models, Adaptive Computing in Robotics systems, Artificial Intelligence and Machine Learning models, Machine-to-Machine Communication, Intelligent user interface models, Brain-machine interaction, Pervasive wearable communication models, Deep Learning and Deep Computation, Smart Grid Computing and Cloud Computing, Smart systems [smart home, gaming, healthcare, Cities and transportation, etc.], Smart Space Systems and Techniques, Autonomic Computing. Social Networking: Opportunistic networks Models and Applications, Internet of things and its Architectures, Wireless Sensor networks, RFID systems, design and Implementations, Big data and cyber-physical systems, Heterogeneous Multilevel Networks, Peer to Peer Social Networking Models, Web-based Semantic models and commodities, Challenges and Opportunities in Social Networking, Edge and Fog Computing in Social Networks, Context-Aware Mobile Social Networks, Smart authentication and authorization models, Cyber Security and Cyber-physical systems, Security Issues and Technical Challenges in Social Information Networks, Cloud Security models in Social Networks, Block Chain models in Social Information Networks.