Crowdsourcing

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

Citizen Science in the Age of Neogeography: Utilizing Volunteered Geographic Information for Environmental Monitoring

Abstract: The interface between neogeography and citizen science has great potential for environmental monitoring, but this nexus has been explored less often than each subject individually. In this article we review the emerging role of volunteered geographic information in citizen science and present a case study of an integrated tool set that engages multiple types of users (from targeted citizen-based observation networks, expert-driven focused monitoring, and opportunistic crowdsourcing efforts) in monitoring a forest disease in the western United States. We first introduce the overall challenge of data collection in environmental monitoring projects and then discuss the literature surrounding an emergent integration of citizen science and volunteered geographical information. We next explore how these methods characterize and underpin knowledge discovery and how multimodal interaction is supported so that a large spectrum of contributors can be included. These concepts are summarized in a conceptual model tha...

Motivation for Open Collaboration: Crowd and Community Models and the Case of OpenStreetMap

Abstract: This article presents an examination of motivational factors relating to contribution to the wiki OpenStreetMap, a site for voluntary geographic information. Based on a wide literature review of mo...

Crowdsourcing and knowledge sharing: strategic user behavior on taskcn

Abstract: Witkeys are a thriving type of web-based knowledge sharing market in China, supporting a form of crowdsourcing. In a Witkey site, users offer a small award for a solution to a task, and other users compete to have their solution selected.In this paper, we examine the behavior of users on one of the biggest Witkey websites in China, Taskcn.com. On Taskcn, we observed several characteristics in users' activity over time. Most users become inactive after only a few submissions. Others keep attempting tasks. Over time, users tend to select tasks where they are competing against fewer opponents to increase their chances of winning. They will also, perhaps counterproductively, select tasks with higher expected rewards. Yet, on average, they do not increase their chances of winning, and in some categories of tasks, their chances actually decrease. This does not paint the full picture, however, because there is a very small core of successful users who manage not only to win multiple tasks, but to increase their win-to-submission ratio over time. This core group proposes nearly 20% of the winning solutions on the site. The patterns we observe on Taskcn, we believe, hold clues to the future of crowdsourcing and freelance marketplaces, and raise interesting design implications for such sites.