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Automated Verification of Textual Claims

Project description

Just the facts, please!

Journalism is about disseminating facts. As such, a reporter’s job is to check the facts being presented to the public. In recent years, the verification of social media content has become increasingly important to journalists and news organisations. The proliferation of social media means a larger volume of claims to verify; therefore, automated verification methods could help journalists assess the truthfulness of claims. The EU-funded AVeriTeC project will use machine learning approaches to develop an automated verification system that can process complex claims that require multiple pieces of evidence to cross-check. AVeriTeC’s ultimate goal is to establish the verification of textual claims as a real-world challenge to stimulate progress in natural language processing, machine learning and related fields.

Field of science

  • /natural sciences/computer and information sciences/data science/natural language processing
  • /social sciences/sociology/social problems/migration
  • /humanities/languages and literature/languages - general
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

ERC-2019-COG
See other projects for this call

Funding Scheme

ERC-COG - Consolidator Grant

Host institution

THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
Address
Trinity Lane The Old Schools
CB2 1TN Cambridge
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 982 824

Beneficiaries (1)

THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
United Kingdom
EU contribution
€ 1 982 824
Address
Trinity Lane The Old Schools
CB2 1TN Cambridge
Activity type
Higher or Secondary Education Establishments