@inproceedings{d21e6f41a0e5407cbdf5a15cb458a61f,
title = "SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment",
keywords = "crowdsourcing, human-ai collaboration, public health, social media",
author = "Yang Zhang and Ruohan Zong and Lanyu Shang and Huimin Zeng and Zhenrui Yue and Dong Wang",
note = "Publisher Copyright: {\textcopyright} 2024 ACM.; 33rd ACM Web Conference, WWW 2024 ; Conference date: 13-05-2024 Through 17-05-2024",
year = "2024",
month = may,
day = "13",
doi = "10.1145/3589334.3645519",
language = "English",
series = "WWW 2024 - Proceedings of the ACM Web Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "2497--2508",
booktitle = "WWW 2024 - Proceedings of the ACM Web Conference",
}