课题基金 / 基金详情

EAGER: Collaborative Research: Establishing Trustworthy-Citizen-Created Data for Disaster Response and Humanitarian Action

EAGER: Collaborative Research: Establishing Trustworthy-Citizen-Created Data for Disaster Response and Humanitarian Action
EAGER:协作研究:为灾难响应和人道主义行动建立值得信赖的公民创建的数据
批准号:
1353418
负责人:
Cornelia Caragea
金额:
$7.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2015-08-31

项目摘要

项目成果

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中文摘要
翻译
通常被称为微博客,普通公民在灾难期间“实地”报道活动的做法越来越普遍。这些消息的内容对响应组织和受害者具有潜在的价值,但它们的数量使得从流中分离有价值的消息变得困难。该项目将审查灾害期间发送的微博信息,以确定这些信息的哪些方面(单独和共同)表明它们是相关的、可核实的和可采取行动的。要考虑的因素包括信息的内容、发送者的身份以及信息的整体模式和传播。然后,确定的因素将被用来指示众包工作人员为邮件添加标签,以创建大量已标签邮件语料库。该项目之所以重要,是因为微博数据被认为越来越重要:它们无处不在、快速且可访问,据信它们使普通公民能够在灾难期间更好地了解情况,并协调自救。该项目的结果如果成功,将证明有可能从一系列微博信息中确定相关、可核查和可采取行动的信息,并确定证据因素。另一个结果将是一个与灾害有关的、有标签的消息数据集,这将对研究人员有用,例如那些寻求对微博数据流中的信息进行自动分类的人。
英文摘要
Often referred to as microblogging, the practice of average citizens reporting on activities "on-the-ground" during a disaster is increasingly common. The contents of these message are potentially valuable to responder organizations and victims, but their volume makes it difficult to separate valuable messages from the stream. This project will examine microblogged messages sent during disasters to determine what aspects of the messages (individually and collectively) indicate that they are relevant, verifiable and actionable. Factors to be considered include the content of the messages, the identity of the sender and the overall pattern and spread of messages. The identified factors will then be used to instruct crowdsourced workers who will label messages to create a large corpus of labelled messages. The project is important because microblogging data are seen as increasingly important: they are ubiquitous, rapid and accessible, and they are believed to empower average citizens to become more situationally aware during disasters and to coordinate to help themselves. The result of the project, if it is successful, will be evidence that it is possible to identify relevant, verifiable and actionable messages from a stream of microblogged messages and identification of the evidentiary factors. A further outcome will be a disaster-related, labeled dataset of messages, which will be useful to researchers, e.g., those seeking to automatically classify information within a microblogged data stream.
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CHS: Small: Collaborative Research: Automating Relevance and Trust Detection in Social Media Data for Emergency Response
  • 批准号:
    1903963
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.97万
  • 财政年份:
    2018
  • 负责人:
    Cornelia Caragea
  • 依托单位:
CRI: CI-SUSTAIN: Collaborative Research: CiteSeerX: Toward Sustainable Support of Scholarly Big Data
  • 批准号:
    1853919
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.0万
  • 财政年份:
    2018
  • 负责人:
    Cornelia Caragea
  • 依托单位:
TWC: Small: Collaborative: Towards Privacy Preserving Online Image Sharing
  • 批准号:
    1903714
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.25万
  • 财政年份:
    2018
  • 负责人:
    Cornelia Caragea
  • 依托单位:
CRI: CI-SUSTAIN: Collaborative Research: CiteSeerX: Toward Sustainable Support of Scholarly Big Data
  • 批准号:
    1823292
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.0万
  • 财政年份:
    2018
  • 负责人:
    Cornelia Caragea
  • 依托单位:
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