The Features, Theoretical Framework and Research Prospects of AI-enabled Surrogate Information Searching: A Sociotechnical System Paradigm
SONG Xiaokang1, ZHAO Yuxiang2,3, SONG Shijie4,5, ZHU Qinghua3
1. School of Management, Xuzhou Medical University, Xuzhou, 221004;
2. Laboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing, 210023;
3. School of Information Management, Nanjing University, Nanjing, 210023;
4. Business School, Hehai University, Nanjing, 211100;
5. School of Information Management, Wuhan University, Wuhan, 430072
Online:2023-07-10
Published:2023-08-17
Contact:
Correspondence should be addressed to ZHAO Yuxiang, Email: yxzhao@vip.163.com, ORCID: 0000-0001-9281-3030
Supported by:
This is an outcome of the Youth Projects "Research on the Influence and Mechanism of Online Surrogate Health Information Seeking on the Health Literacy of the Elderly"(72204210) and "Features Detection and Collaborative Correction of Health Misinformation on Social Media"(72204076), both supported by National Natural Science Foundation of China.
SONG Xiaokang, ZHAO Yuxiang, SONG Shijie, ZHU Qinghua. The Features, Theoretical Framework and Research Prospects of AI-enabled Surrogate Information Searching: A Sociotechnical System Paradigm[J]. Documentation, Informaiton & Knowledge, 2023, 40(4): 111-121.