As a new distributed computing model, crowdsourcing lets people leverage the crowd\u27s intelligence and wisdom toward solving problems. This article proposes a framework for characterizing various dimensions of quality control in crowdsourcing systems, a critical issue. The authors briefly review existing quality-control approaches, identify open issues, and look to future research directions. In the Web extra, the authors discuss both design-time and runtime approaches in more detail
The emergence of online paid crowdsourcing platforms, such as Amazon Mechanical Turk (AMT), presents...
Crowdsourcing has gained much attention in practice over the last years. Numerous companies have dra...
We consider the problem of making efficient quality-time-cost trade-offs in collaborative crowdsourc...
Crowdsourcing is an emerging research area that has experienced rapid growth in the past few years. ...
Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large groups of ...
The advent of crowdsourcing has created a variety of new opportunities for improving upon traditiona...
Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (e.g. labels) ab...
Quality assurance in crowdsourcing markets has appeared to be an acute problem over the last years. ...
Crowdsourcing combines the abilities of computers and humans to solve tasks that computers find diff...
Crowdsourcing is the outsourcing of a unit of work to a crowd of people via an open call for contrib...
International audienceDespite recent advances in artificial intelligence and machine learning, many ...
Crowdsourcing is a paradigm for utilizing crowd intelligence to help solve problems that computers a...
An essential aspect for building effective crowdsourcing computations is the ability of ``controllin...
Crowdsourcing is the use of human workers, usually through the Internet, for obtaining useful servic...
Purpose: In recent years, crowdsourcing – an open and innovative model for outsourcing tasks to a cr...
The emergence of online paid crowdsourcing platforms, such as Amazon Mechanical Turk (AMT), presents...
Crowdsourcing has gained much attention in practice over the last years. Numerous companies have dra...
We consider the problem of making efficient quality-time-cost trade-offs in collaborative crowdsourc...
Crowdsourcing is an emerging research area that has experienced rapid growth in the past few years. ...
Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large groups of ...
The advent of crowdsourcing has created a variety of new opportunities for improving upon traditiona...
Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (e.g. labels) ab...
Quality assurance in crowdsourcing markets has appeared to be an acute problem over the last years. ...
Crowdsourcing combines the abilities of computers and humans to solve tasks that computers find diff...
Crowdsourcing is the outsourcing of a unit of work to a crowd of people via an open call for contrib...
International audienceDespite recent advances in artificial intelligence and machine learning, many ...
Crowdsourcing is a paradigm for utilizing crowd intelligence to help solve problems that computers a...
An essential aspect for building effective crowdsourcing computations is the ability of ``controllin...
Crowdsourcing is the use of human workers, usually through the Internet, for obtaining useful servic...
Purpose: In recent years, crowdsourcing – an open and innovative model for outsourcing tasks to a cr...
The emergence of online paid crowdsourcing platforms, such as Amazon Mechanical Turk (AMT), presents...
Crowdsourcing has gained much attention in practice over the last years. Numerous companies have dra...
We consider the problem of making efficient quality-time-cost trade-offs in collaborative crowdsourc...