Topic
Crowdsourcing
About: Crowdsourcing is a research topic. Over the lifetime, 12889 publications have been published within this topic receiving 230638 citations.
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TL;DR: The scope of crowdsourcing in health research is described and a taxonomy to characterize past uses of this methodology for health and medical research is created to provide clarity and comparability in methods is created.
Abstract: Objective
Crowdsourcing research allows investigators to engage thousands of people to provide either data or data analysis. However, prior work has not documented the use of crowdsourcing in health and medical research. We sought to systematically review the literature to describe the scope of crowdsourcing in health research and to create a taxonomy to characterize past uses of this methodology for health and medical research.
291 citations
TL;DR: It is shown through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads.
Abstract: The tragedy of the digital commons does not prevent the copious voluntary production of content that one witnesses in the web. We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases asymptotes to no uploads whatsoever. Moreover, uploaders compare themselves to others when having low productivity and to themselves when exceeding a threshold.
291 citations
TL;DR: The components that comprise Geo-Wiki are outlined and how they are integrated in the architectural design, in particular the need to add a mechanism for feedback and interaction as part of community building, and theneed to address issues of data quality.
Abstract: Land cover derived from remotely sensed products is an important input to a number of different global, regional and national scale applications including resource assessments and economic land use models. During the last decade three global land cover datasets have been created, i.e. the GLC-2000, MODIS and GlobCover, but comparison studies have shown that there are large spatial discrepancies between these three products. One of the reasons for these discrepancies is the lack of sufficient in-situ data for the development of these products. To address this issue, a crowdsourcing tool called Geo-Wiki has been developed. Geo-Wiki has two main aims: to increase the amount of in-situ land cover data available for training, calibration and validation, and to create a hybrid global land cover map that provides more accurate land cover information than any current individual product. This paper outlines the components that comprise Geo-Wiki and how they are integrated in the architectural design. An overview of the main functionality of Geo-Wiki is then provided along with the current usage statistics and the lessons learned to date, in particular the need to add a mechanism for feedback and interaction as part of community building, and the need to address issues of data quality. The tool is located at geo-wiki.org.
290 citations
TL;DR: This article focuses on product design stages to investigate what key factors affect product design quality and how it can be controlled and assured, and separately survey key factors affecting product designquality in traditional and crowdsourcing-based design environments.
Abstract: Small and medium-sized enterprises face the challenges that they do not have enough employees and related resources to produce high-quality products with limited budget and time. The emergence of c...
288 citations
IBM1
TL;DR: In this article, the authors present a sample crowdsourcing scenario in software development domain to derive the requirements for delivering a general-purpose crowdsourcing service in the cloud, and propose taxonomy for categorization of crowdsourcing platforms, and evaluates a number of existing systems against the set of identified features.
Abstract: Crowdsourcing is emerging as the new on-line distributed problem solving and production model in which networked people collaborate to complete a task. Enterprises are increasingly employing crowdsourcing to access scalable workforce on-line. In parallel, cloud computing has emerged as a new paradigm for delivering computational services, which seamlessly interweave physical and digital worlds through a common infrastructure.This paper presents a sample crowdsourcing scenario in software development domain to derive the requirements for delivering a general-purpose crowdsourcing service in the Cloud. It proposes taxonomy for categorization of crowdsourcing platforms, and evaluates a number of existing systems against the set of identified features. Finally, the paper outlines a research agenda for enhancing crowdsourcing capabilities, with focus on virtual team building and task-based service provisioning, whose lack has been a barrier to the realization of a peer-production model that engages providers from around the world.
285 citations