As an emerging human-solving paradigm, crowdsourcing has attracted much attention
where requesters want to employ reliable workers to complete the specific task. Task …

In this study, a systematic review was performed to identify the current state of
crowdsourcing classification or taxonomy research to date. A total of 23 studies was found …

Today, crowdsourcing is used to" taskify" any job ranging from simple receipt transcription to
collab-orative editing, fan-subbing, and citizen science. Existing work has mainly focused on …

Rating-based compensation systems (RBCS) are a promising form of long-term
compensation on intermediary internet platforms for paid digital work, namely crowdworking …

Crowdsourcing is used for problem solving in different domains. A promising key to optimal
solutions is collaboration among crowd workers. However, due to the distributed and …

Crowdsourcing provides a distributed method to solve the tasks that are difficult to complete
using computers and require the wisdom of human beings. Due to its fast and inexpensive …

Gathering and preparing high-quality data is one of the most significant and expensive steps
in data analytics. Crowdsourcing is an efficient way to create datasets for machine learning …

This paper presents a tool for participatory decision-making in local governments using
crowdsourcing and e-democracy. The concepts of crowdsourcing and participation are …

The embracement of information and computation technologies to an enormous extent has
resulted in environment contamination drastically. Moreover, the introduction of the IoT and …

随着移动互联网技术与O2O (offline-to-online) 商业模式的发展, 各类空间众包平台变得日益
流行, 如滴滴出行, 百度外卖等空间众包平台更与人们日常生活密不可分. 在空间众包研究中 …