A Quality Assessment Model for Blockchain-Based Crowdsourcing System

In recent years, crowdsourcing has become a new business model. Quality assessment of crowdsourcing has also become a hot topic of interest for researchers. Most quality control methods are based on centralised platforms and cannot guarantee complete reliability. Therefore, this paper proposes a blockchain-based quality assessment model for crowdsourcing(BC-CQAM). A trusted mechanism is introduced to construct a reputation model, based on that we also propose a blockchain-based worker selection algorithm(BC-WS). A new quality assessment algorithm(BIV-EM) is proposed, resulting in more accurate evaluation results. The validity of the algorithm and the reliability of the worker selection have been demonstrated experimentally.