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Social Network Analysis and Mining
Erschienen in: Social Network Analysis and Mining 3/2013

01.09.2013 | Original Article

Reputation modelling in Citizen Science for environmental acoustic data analysis

verfasst von: HaoFan Yang, Jinglan Zhang, Paul Roe

Erschienen in: Social Network Analysis and Mining | Ausgabe 3/2013

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Abstract

Citizen Science projects are initiatives in which members of the general public participate in scientific research projects and perform or manage research-related tasks such as data collection and/or data annotation. Citizen Science is technologically possible and scientifically significant. However, as the gathered information is from the crowd, the data reliability is always hard to manage. Data reliability issues are significant to the domain of Citizen Science due to the quantity and diversity of people and devices involved. Participants may submit low quality, misleading, inaccurate, or even malicious data. Therefore, finding a way to improve the data reliability has become an urgent demand. This study aims to investigate techniques to enhance the reliability of data contributed by general citizens in scientific research projects especially for acoustic sensing projects. In particular, we propose to design a reputation framework to enhance data reliability and also investigate some critical elements that should be aware of during developing and designing new reputation systems.
Vorheriger Artikel Modeling the impact of review dynamics on utility value of a product
Nächster Artikel Investigating the impact of differences in kind upon resource consumption in web-based social networks

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Metadaten
Titel
Reputation modelling in Citizen Science for environmental acoustic data analysis
verfasst von
HaoFan Yang
Jinglan Zhang
Paul Roe
Publikationsdatum
01.09.2013
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 3/2013
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-012-0087-3

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