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I-Corps Team: ClaimBuster: Automated, Live Fact-Checking

I-Corps Team: ClaimBuster: Automated, Live Fact-Checking
I-Corps 团队:ClaimBuster:自动化、实时事实核查
批准号:
1565699
负责人:
Chengkai Li
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-11-15 至 2017-04-30

项目摘要

项目成果

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中文摘要
翻译
新形式的技术和媒体使虚假信息的传播比以往任何时候都更容易,这可能对商业、金融部门、科学等领域产生不利后果。因此,事实核查对于加强问责制、改善话语和尽量减少社会经济中断至关重要。一个关键的挑战是,鉴于新的通信形式,人类事实核查人员难以跟上迅速出现的虚假数据和信息。这个I-Corps团队的目标是将ClaimBuster商业化,这是一个自动化的实时事实核查系统,可以发现索赔,将它们与已经经过专业人员核查的索赔进行匹配,并且,对于尚未核查的新索赔,提供相关数据分析以帮助检查其有效性。团队吗?S技术利用了数据库、数据和文本挖掘、机器学习等方面的最新研究进展。通过参加I-Corps团队项目,团队?S的目标是清楚地确定目标客户和他们的需求,这将使团队准备一个可行的商业化计划,并进一步开发必要的组件来部署他们的技术。
英文摘要
New forms of technology and media have made it easier than ever to disseminate false information, which can have adverse consequences on businesses, the financial sector, science, and beyond. Fact-checking is thus critically important to increase accountability, improve discourse, and minimize socioeconomic disruptions. A key challenge is that, in light of the new forms of communications, human fact-checkers have difficulty keeping up with rapidly emerging false data and information. This I-Corps team aims to commercialize ClaimBuster, an automated, live fact-checking system that finds claims, matches them with claims that have already been checked by professionals, and, for new claims not yet checked, provides analysis of relevant data to help check their validity. The team?s technology leverages novel research advances in databases, data and text mining, machine learning, etc. By participating in the I-Corps Teams program, the team?s goal is to clearly identify target customers and their needs, which will enable the team to prepare a viable commercialization plan and further develop necessary components for deploying their technology.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Maverick: A System for Discovering Exceptional Facts from Knowledge Graphs
Maverick:从知识图中发现异常事实的系统
DOI: 10.14778/3229863.3236228
发表时间: 2018
期刊: Proceedings of the VLDB Endowment
影响因子: 2.5
作者: [Zhang, Gensheng, Li, Chengkai]
通讯作者: Li, Chengkai
Maverick: Discovering Exceptional Facts from Knowledge Graphs
Maverick:从知识图中发现特殊事实
DOI: 10.1145/3183713.3183730
发表时间: 2018
期刊: Proceedings of the 2018 International Conference on Management of Data
影响因子: --
作者: [Zhang, Gensheng, Jimenez, Damian, Li, Chengkai]
通讯作者: Li, Chengkai
Proto-OKN Theme 1: Digging in to Soil Carbon with USDA: A Knowledge Graph Informing Soil Carbon Modeling
  • 批准号:
    2333834
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $149.94万
  • 财政年份:
    2023
  • 负责人:
    Chengkai Li
  • 依托单位:
Convergence Accelerator Phase I (RAISE): Credible Open Knowledge Network
  • 批准号:
    1937143
  • 项目类别:
    Standard Grant
  • 资助金额:
    $99.99万
  • 财政年份:
    2019
  • 负责人:
    Chengkai Li
  • 依托单位:
III: Small: Collaborative Research: Towards End-to-End Computer-Assisted Fact-Checking
  • 批准号:
    1719054
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.08万
  • 财政年份:
    2017
  • 负责人:
    Chengkai Li
  • 依托单位:
III: Medium: Collaborative Research: From Answering Questions to Questioning Answers (and Questions)---Perturbation Analysis of Database Queries
  • 批准号:
    1408928
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.18万
  • 财政年份:
    2014
  • 负责人:
    Chengkai Li
  • 依托单位:
国内基金
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