Reputation modelling in Citizen Science for environmental acoustic data analysis

被引：12

作者：

Yang, HaoFan ^{[1
]}

Zhang, Jinglan ^{[1
]}

Roe, Paul ^{[1
]}

机构：

[1] Queensland Univ Technol, Level 4,126 Margaret St, Brisbane, Qld 4000, Australia

来源：

SOCIAL NETWORK ANALYSIS AND MINING | 2013年 / 3卷 / 03期

关键词：

Citizen Science; Reputation management; Decision-making; Community informatics;

D O I：

10.1007/s13278-012-0087-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：419 / 435

页数：17

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