Guest Editorial: Special Issue on Hybrid Human-Artificial Intelligence for Social Computing

Weishan Zhang, Huansheng Ning, Lu Liu, Qun Jin, Vincenzo Piuri

Research output: Contribution to journalEditorialpeer-review

6 Citations (Scopus)


The unprecedented development of the Internet of Things (IoT), artificial intelligence (AI), and Big Data has stimulated a boom of social networks such as Twitter, WeChat, Facebook, etc., generating a huge amount of social data that are worth further analysis. Social computing has an important focus on mining the deep relationships between social organizations, networks, and media. The increasing volumes and complexities make big social data mining more and more difficult. Hybrid Human-Artificial Intelligence (H-AI) is an approach combining both human intelligence and AI, so as to handle demanding problems in a harmonious way. By adopting H-AI in social computing, it would provide more possibilities for social data analysis, relationship discovery, outlier detection, and prediction, and is proving to be an emerging and promising direction for AI and big data research.

Original languageEnglish
Article number9340433
Pages (from-to)118-121
Number of pages4
JournalIEEE Transactions on Computational Social Systems
Issue number1
Publication statusPublished - 2021 Feb

ASJC Scopus subject areas

  • Modelling and Simulation
  • Social Sciences (miscellaneous)
  • Human-Computer Interaction


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