Code and Data Repository for Human-Algorithm Collaborative Truth Inference in Crowdsourcing

Xuan Wei; Mingyue Zhang; Qingpeng Zhang; Zhi Li; Daniel Zeng

doi:10.1287/ijoc.2023.0440.cd

August 4, 2025INFORMS journal on computing

Code and Data Repository for Human-Algorithm Collaborative Truth Inference in Crowdsourcing

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Key Points

The repository offers tools for collaborative truth inference between humans and algorithms, enhancing data accuracy.
Key features include a codebase that facilitates human-algorithm interaction and improves crowdsourcing outcomes.
This repository stems from research in human-algorithm collaborative systems and showcases potential applications in various fields.
Utilizing shared resources enhances the transparency and reproducibility of collaborative truth inference processes.

Implication

Data repository presents software for human-algorithm collaboration, aiming to improve truth inference in crowdsourcing.

Abstract

The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper Human-Algorithm Collaborative Truth Inference in Crowdsourcing by Xuan Wei, Mingyue Zhang, Qingpeng Zhang, Zhi Li, and Daniel Dajun Zeng.

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Cite This Study

Wei et al. (2025) studied this question.

synapsesocial.com/papers/68c1b1a154b1d3bfb60e9402 https://doi.org/10.1287/ijoc.2023.0440.cd

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Code and Data Repository for Human-Algorithm Collaborative Truth Inference in Crowdsourcing

Key Points

Implication

Abstract

Discussion

Cite This Study

Code and Data Repository for Human-Algorithm Collaborative Truth Inference in Crowdsourcing

Key Points

Implication

Abstract

Discussion

Cite This Study

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