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While online social network services and applications have found unprecedented presence today (e.g., messaging, gaming, advertising, and recommendation), multiple novel and emerging technologies have already started to shape the next-generation online social networks, including the “metaverse”. On the one hand, Augmented/Virtual Reality (AR/VR), Internet of Things (IoT), and Multi-access Edge Computing (MEC) are bringing new mobile computing and communication paradigms for provisioning and accessing online social networks, social media, massive gaming, etc. On the other hand, Artificial Intelligence (AI) and Machine Learning (ML), characterized by recent breakthroughs of deep learning and large language model, are finding successful applications to online social networks, including detecting/preventing spam and fraud, and enhancing service experience via intelligent user interactions (e.g., recognition) with texts, images, and voices. Yet, how to exploit and synergize all such state-of-the-art technologies to revolutionize online social networks is still in its infancy and demands comprehensive investigation and research.

The goal of the 3rd International Workshop on Social and Metaverse Computing, Sensing and Networking (SocialMeta) is to bring together scientists, researchers, engineers, and practitioners to identify new problems and discuss the latest research ideas and results, especially those related to novel and emerging technologies, regarding online social networks and the metaverse. SocialMeta focuses on all aspects of online social networks and the metaverse, including architecture, design, sensing, implementation, measurement, modeling, algorithm, analysis, and theory. The topics include but are not limited to the following:

• Sensing in mobile and location-based online social networks and the AR/VR-based metaverse
• Reputation, incentives, and economics in online social networks and the metaverse
• AR/VR, IoT, wearables, and crowdsourcing for online social networks and the metaverse
• Cloud, edge, SDN, and NFV for online social networks and the metaverse
• Non-terrestrial networks, UAV, and 5G/6G for online social networks and the metaverse
• AI/ML, Data Science, Large Language Models, and Blockchains for online social networks and the metaverse
• Measurement and Sensing of online social network and metaverse systems and applications
• Modeling, algorithms, and theories for online social networks and the metaverse
• Anomaly sensing and detection in online social networks and the metaverse
• Ethical aspects and bias mitigation in Artificial Intelligence and the metaverse
• Future trends in sensing for social networks and the metaverse

General Chairs:

• Yupeng Li (Hong Kong Baptist University, China)
• Lei Jiao (University of Oregon, USA)

TPC Chairs:

• Qingyuan Gong (Fudan University, China)
• Xinlei He (Hong Kong University of Science and Technology (Guangzhou), China)

TPC Members:

• Shenghui Cheng (WestLake University, China)
• Pengyuan Zhou (Aarhus University, Denmark)
• Zeyang Sha (CISPA, Germany)
• Lik-Hang Lee (The Hong Kong Polytechnic University, China)
• Jianxiong Guo (Beijing Normal University, China)
• Hong-Ning Dai (Hong Kong Baptist University, China)
• Xueyan Tang (National University of Singapore, Singapore)
• Shuai Xu (Nanjing University of Aeronautics and Astronautics, China)
• Xiang Su (Norwegian University of Science and Technology, Norway)
• Dimitrios Chatzopoulos (University College Dublin, Ireland)
• Xiuxiu Zhan (Hangzhou Normal University, China)
• Shuo Yu (Dalian Univerisity of Technology, China)
• Ruiqi Li (Beijing University of Chemical Technology, China)
• Zehua Guo (Beijing Institute of Technology, China)

Web Chair:

• Kebing Liu (Fudan University, China)

Submission Link:  https://socialmeta2024.github.io/submission.html