Shaoyang Fan
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Can the crowd identify misinformation objectively? The effects of judgment scale and assessor's background
K Roitero, M Soprano, S Fan, D Spina, S Mizzaro, G Demartini
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
CrowdCO-OP: sharing risks and rewards in crowdsourcing
S Fan, U Gadiraju, A Checco, G Demartini
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-24, 2020
Socio-economic diversity in human annotations
S Fan, P Barlas, E Christoforou, J Otterbacher, S Sadiq, G Demartini
Proceedings of the 14th ACM Web Science Conference 2022, 98-109, 2022
Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?
J Xu, L Han, S Fan, S Sadiq, G Demartini
The Web Conference 2022, 2022
Exploring data literacy levels in the crowd–the case of COVID-19
S Fan, L Han, G Demartini, S Sadiq
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
An Analysis of the Australian Political Discourse in Sponsored Social Media Content
L Han, R Sawant, S Fan, G Kefford, G Demartini
Proceedings of the 25th Australasian Document Computing Symposium, 1-5, 2021
Improving the work environment and data quality in micro-task crowdsourcing
S Fan
UQ Single Column Format Inconsistency Datasets
G Demartini, T Chen, S Sadiq, S Fan, J Xu, L Han, S Yu
The University of Queensland, 2023
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