WeCrowd: A WeChat based mobile crowdsourcing platform

Kai Ye, Yuling Sun, Jing Yang, Liang He

Abstract: In this paper, we designed and implemented a lightweight mobile crowdsourcing platform called WeCrowd. What makes it distinct from other mobile crowdsourcing applications is that, it is based on WeChat and enables users to post and work on crowdsourcing tasks without setup process, which can greatly save storage space, speed up crowd work and also be convenient for users to take part in tasks. Based on this platform, we conducted a preliminary study to understand how this lightweight crowdsourcing platform worked in reality. The experiment results affirm that WeCrowd provides meaningful insights for mobile crowdsourcing, and enables mobile users to take part in tasks with more freedom, enthusiastic and high quality users experience. We end by some design implications for mobile crowdsourcing.