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

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

研究成果: Editorial査読

抄録

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.

本文言語English
論文番号9340433
ページ(範囲)118-121
ページ数4
ジャーナルIEEE Transactions on Computational Social Systems
8
1
DOI
出版ステータスPublished - 2021 2

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 社会科学(その他)
  • 人間とコンピュータの相互作用

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