ClaimsKG: A Knowledge Graph of Fact-Checked Claims

  • Andon Tchechmedjiev
  • Pavlos FafaliosEmail author
  • Katarina Boland
  • Malo Gasquet
  • Matthäus Zloch
  • Benjamin Zapilko
  • Stefan Dietze
  • Konstantin Todorov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11779)


Various research areas at the intersection of computer and social sciences require a ground truth of contextualized claims labelled with their truth values in order to facilitate supervision, validation or reproducibility of approaches dealing, for example, with fact-checking or analysis of societal debates. So far, no reasonably large, up-to-date and queryable corpus of structured information about claims and related metadata is publicly available. In an attempt to fill this gap, we introduce ClaimsKG, a knowledge graph of fact-checked claims, which facilitates structured queries about their truth values, authors, dates, journalistic reviews and other kinds of metadata. ClaimsKG is generated through a semi-automated pipeline, which harvests data from popular fact-checking websites on a regular basis, annotates claims with related entities from DBpedia, and lifts the data to RDF using an RDF/S model that makes use of established vocabularies. In order to harmonise data originating from diverse fact-checking sites, we introduce normalised ratings as well as a simple claims coreference resolution strategy. The current knowledge graph, extensible to new information, consists of 28,383 claims published since 1996, amounting to 6,606,032 triples.


Claims Fact-checking Societal debates Knowledge graphs 



We thank Vinicius Woloszyn for providing support on the first step of the pipeline (claim extraction), as well as Josselin Alezot, Imran Meghazi and Elisa Gueneau for their work on the Web interface. We thank all fact-checking sites and the fact-checkers community for the laborious work of manual claim verification.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Andon Tchechmedjiev
    • 1
  • Pavlos Fafalios
    • 2
    Email author
  • Katarina Boland
    • 3
  • Malo Gasquet
    • 5
  • Matthäus Zloch
    • 3
  • Benjamin Zapilko
    • 3
  • Stefan Dietze
    • 3
    • 4
  • Konstantin Todorov
    • 5
  1. 1.LGI2PIMT Mines-AlesAlèsFrance
  2. 2.L3S Research CenterLeibniz University of HanoverHanoverGermany
  3. 3.GESIS - Leibniz Institute for the Social SciencesCologneGermany
  4. 4.Heinrich-Heine-University DüsseldorfDüsseldorfGermany
  5. 5.LIRMM/University of Montpellier/CNRSMontpellierFrance

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