scispace - formally typeset
Search or ask a question
Topic

Crowdsourcing

About: Crowdsourcing is a research topic. Over the lifetime, 12889 publications have been published within this topic receiving 230638 citations.


Papers
More filters
Proceedings ArticleDOI
27 May 2018
TL;DR: This paper formally defines the Global Dynamic Pricing problem in spatial crowdsourcing, and proposes a MAtching-based Pricing Strategy (MAPS) with guaranteed bound; extensive experiments conducted on the synthetic and real datasets demonstrate the effectiveness of MAPS.
Abstract: In spatial crowdsourcing, requesters submit their task-related locations and increase the demand of a local area. The platform prices these tasks and assigns spatial workers to serve if the prices are accepted by requesters. There exist mature pricing strategies which specialize in tackling the imbalance between supply and demand in a local market. However, in global optimization, the platform should consider the mobility of workers; that is, any single worker can be the potential supply for several areas, while it can only be the true supply of one area when assigned by the platform. The hardness lies in the uncertainty of the true supply of each area, hence the existing pricing strategies do not work. In the paper, we formally define this Global Dynamic Pricing(GDP) problem in spatial crowdsourcing. And since the objective is concerned with how the platform matches the supply to areas, we let the matching algorithm guide us how to price. We propose a MAtching-based Pricing Strategy (MAPS) with guaranteed bound. Extensive experiments conducted on the synthetic and real datasets demonstrate the effectiveness of MAPS.

92 citations

01 Jan 2011
TL;DR: The results demonstrate that systems theory can inform the study of crowdsourcing systems and may prove useful for researchers to frame future studies and for practitioners to identify the right crowdsourced systems for a particular purpose.
Abstract: Crowdsourcing harnesses the potential of large and open networks of people. It is a relatively new phenomenon and attracted substantial interest in practice. Related research, however, lacks a theoretical foundation. We propose a system- theoretical perspective on crowdsourcing systems to address this gap and illustrate its applicability by using it to classify crowdsourcing systems. By deriving two principal dimensions from theory, we identify four fundamental types of crowdsourcing systems that help to distinguish important features of such systems. We analyse their respective characteristics and discuss implications and requirements for various aspects related to the design of such systems. Our results demonstrate that systems theory can inform the study of crowdsourcing systems. The identified system types and the implications on their design may prove useful for researchers to frame future studies and for practitioners to identify the right crowdsourcing systems for a particular purpose.

92 citations

Journal ArticleDOI
15 Jul 2014-PLOS ONE
TL;DR: This study investigated whether the mass collection of experimental data using smartphone technology is valid, given the variability of data collection outside of a laboratory setting and found that the large sample size vastly outweighed the noise inherent in collecting data outside a controlled laboratory setting.
Abstract: By 2015, there will be an estimated two billion smartphone users worldwide. This technology presents exciting opportunities for cognitive science as a medium for rapid, large-scale experimentation and data collection. At present, cost and logistics limit most study populations to small samples, restricting the experimental questions that can be addressed. In this study we investigated whether the mass collection of experimental data using smartphone technology is valid, given the variability of data collection outside of a laboratory setting. We presented four classic experimental paradigms as short games, available as a free app and over the first month 20,800 users submitted data. We found that the large sample size vastly outweighed the noise inherent in collecting data outside a controlled laboratory setting, and show that for all four games canonical results were reproduced. For the first time, we provide experimental validation for the use of smartphones for data collection in cognitive science, which can lead to the collection of richer data sets and a significant cost reduction as well as provide an opportunity for efficient phenotypic screening of large populations.

92 citations

Proceedings ArticleDOI
09 Nov 2014
TL;DR: In this paper, the authors present insights from an ethnographic study conducted in India to introduce some of these workers or "Turkers" -who they are, how they work and what turking means to them.
Abstract: Previous studies on Amazon Mechanical Turk (AMT), the most well-known marketplace for microtasks, show that the largest population of workers on AMT is U.S. based, while the second largest is based in India. In this paper, we present insights from an ethnographic study conducted in India to introduce some of these workers or "Turkers" -- who they are, how they work and what turking means to them. We examine the work they do to maintain their reputations and their work-life balance. In doing this, we illustrate how AMT's design practically impacts on turk-work. Understanding the "lived work" of crowdwork is a valuable first step for technology design.

92 citations

Journal ArticleDOI
TL;DR: This paper discusses the case of guifi.net, a success case of a community network daily used by thousands of participants, focusing on its principles and the crowdsourcing processes and tools developed within the community, and the role they play in the ecosystem that is guFi.net.

92 citations


Network Information
Related Topics (5)
Social network
42.9K papers, 1.5M citations
87% related
User interface
85.4K papers, 1.7M citations
86% related
Deep learning
79.8K papers, 2.1M citations
85% related
Cluster analysis
146.5K papers, 2.9M citations
85% related
The Internet
213.2K papers, 3.8M citations
85% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023637
20221,420
2021996
20201,250
20191,341
20181,396