CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response

Yang Zhang; Lanyu Shang; Ruohan Zong; Huimin Zeng; Zhenrui Yue; Dong Wang

doi:10.1145/3543507.3583871

CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response

Yang Zhang
, Lanyu Shang
, Ruohan Zong
, Huimin Zeng
, Zhenrui Yue
, Dong Wang

University of Illinois Urbana-Champaign

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023
Publisher	Association for Computing Machinery, Inc
Pages	4050-4059
Number of pages	10
ISBN (Electronic)	9781450394161
DOIs	https://doi.org/10.1145/3543507.3583871
State	Published - Apr 30 2023
Externally published	Yes
Event	32nd ACM World Wide Web Conference, WWW 2023 - Austin, United States Duration: Apr 30 2023 → May 4 2023

Publication series

Name	ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023

Conference

Conference	32nd ACM World Wide Web Conference, WWW 2023
Country/Territory	United States
City	Austin
Period	4/30/23 → 5/4/23

ASJC Scopus Subject Areas

Computer Networks and Communications
Software

Keywords

Class-wise Inequality
Human-centered AI
Web-based Disaster Response

Access to Document

10.1145/3543507.3583871

Cite this

Zhang, Y., Shang, L., Zong, R., Zeng, H., Yue, Z., & Wang, D. (2023). CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 (pp. 4050-4059). (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023). Association for Computing Machinery, Inc. https://doi.org/10.1145/3543507.3583871

CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. / Zhang, Yang; Shang, Lanyu; Zong, Ruohan et al.
ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, 2023. p. 4050-4059 (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, Y, Shang, L, Zong, R, Zeng, H, Yue, Z & Wang, D 2023, CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. in ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, Association for Computing Machinery, Inc, pp. 4050-4059, 32nd ACM World Wide Web Conference, WWW 2023, Austin, United States, 4/30/23. https://doi.org/10.1145/3543507.3583871

Zhang Y, Shang L, Zong R, Zeng H, Yue Z, Wang D. CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc. 2023. p. 4050-4059. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023). doi: 10.1145/3543507.3583871

Zhang, Yang ; Shang, Lanyu ; Zong, Ruohan et al. / CollabEquality : A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, 2023. pp. 4050-4059 (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

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CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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