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Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster

Authors:

Naeemul Hassan,

Mark TremayneAuthors Info & Claims

KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Pages 1803 - 1812

https://doi.org/10.1145/3097983.3098131

Published: 13 August 2017 Publication History

Abstract

This paper introduces how ClaimBuster, a fact-checking platform, uses natural language processing and supervised learning to detect important factual claims in political discourses. The claim spotting model is built using a human-labeled dataset of check-worthy factual claims from the U.S. general election debate transcripts. The paper explains the architecture and the components of the system and the evaluation of the model. It presents a case study of how ClaimBuster live covers the 2016 U.S. presidential election debates and monitors social media and Australian Hansard for factual claims. It also describes the current status and the long-term goals of ClaimBuster as we keep developing and expanding it.

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Cited By

López-Martín Á(2024)Capacitación tecnológica y formación en verificación en los medios de comunicación españoles.Technological and Verification Training in the Spanish MediaVISUAL REVIEW. International Visual Culture Review / Revista Internacional de Cultura Visual10.62161/revvisual.v16.520816:4(1-14)Online publication date: 8-Jul-2024
https://doi.org/10.62161/revvisual.v16.5208
Bayani AAyotte ANikiema J(2024)Transformer-Based Tool for Automated Fact-Checking: A Pilot Study on Online Health Information (Preprint)JMIR Infodemiology10.2196/56831Online publication date: 27-Jan-2024
https://doi.org/10.2196/56831
Martinez-Rico JAraujo LMartinez-Romo J(2024)Building a framework for fake news detection in the health domainPLOS ONE10.1371/journal.pone.030536219:7(e0305362)Online publication date: 8-Jul-2024
https://doi.org/10.1371/journal.pone.0305362
Show More Cited By

Index Terms

Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining

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cover image ACM Conferences

KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

August 2017

2240 pages

ISBN:9781450348874

DOI:10.1145/3097983

General Chairs:
Stan Matwin
Dalhousie University
,
Shipeng Yu
LinkedIn
,
Faisal Farooq
IBM

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 August 2017

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National Science Foundation

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KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

August 13 - 17, 2017

NS, Halifax, Canada

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KDD '17 Paper Acceptance Rate 64 of 748 submissions, 9%;

Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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Cited By

López-Martín Á(2024)Capacitación tecnológica y formación en verificación en los medios de comunicación españoles.Technological and Verification Training in the Spanish MediaVISUAL REVIEW. International Visual Culture Review / Revista Internacional de Cultura Visual10.62161/revvisual.v16.520816:4(1-14)Online publication date: 8-Jul-2024
https://doi.org/10.62161/revvisual.v16.5208
Bayani AAyotte ANikiema J(2024)Transformer-Based Tool for Automated Fact-Checking: A Pilot Study on Online Health Information (Preprint)JMIR Infodemiology10.2196/56831Online publication date: 27-Jan-2024
https://doi.org/10.2196/56831
Martinez-Rico JAraujo LMartinez-Romo J(2024)Building a framework for fake news detection in the health domainPLOS ONE10.1371/journal.pone.030536219:7(e0305362)Online publication date: 8-Jul-2024
https://doi.org/10.1371/journal.pone.0305362
Fu YGuo SHoffswell JS. Bursztyn VRossi RStasko J(2024)"The Data Says Otherwise" — Towards Automated Fact-checking and Communication of Data ClaimsProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676359(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676359
Gangopadhyay SSchellhammer SHafid SDessi DKoß CTodorov KDietze SJabeen H(2024)Investigating Characteristics, Biases and Evolution of Fact-Checked Claims on the WebProceedings of the 35th ACM Conference on Hypertext and Social Media10.1145/3648188.3675135(246-258)Online publication date: 10-Sep-2024
https://dl.acm.org/doi/10.1145/3648188.3675135
Seelam APaul Choudhury ALiu CGoay MBali KVashistha A(2024)"Fact-checks are for the Top 0.1%": Examining Reach, Awareness, and Relevance of Fact-Checking in Rural IndiaProceedings of the ACM on Human-Computer Interaction10.1145/36373338:CSCW1(1-34)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637333
Mahdavi MBaghaei Mehr RDebus TSerra ESpezzano F(2024)Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous ReportsProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3680110(4752-4759)Online publication date: 21-Oct-2024
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Setty RSetty VSerra ESpezzano F(2024)QuestGen: Effectiveness of Question Generation Methods for Fact-Checking ApplicationsProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679985(4036-4040)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679985
Stubbs JIndrakusuma DGarcia CHalbach FHammock CFreeman NJamthe APackard MFields ACurbelo G(2024)A Comprehensive Cloud Architecture for Machine Learning-enabled ResearchPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670525(1-8)Online publication date: 17-Jul-2024
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