mlsanityData to 14 Oct 2026

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge

arXiv 2112.08544 ↗First posted 16 Dec 2021cs.CL cs.AIcited by 20

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Abstract (arXiv)

Claim detection and verification are crucial for news understanding and have emerged as promising technologies for mitigating misinformation and disinformation in the news. However, most existing work has focused on claim sentence analysis while overlooking additional crucial attributes (e.g., the claimer and the main object associated with the claim). In this work, we present NewsClaims, a new benchmark for attribute-aware claim detection in the news domain. We extend the claim detection problem to include extraction of additional attributes related to each claim and release 889 claims annotated over 143 news articles. NewsClaims aims to benchmark claim detection systems in emerging scenarios, comprising unseen topics with little or no training data. To this end, we see that zero-shot and prompt-based baselines show promising performance on this benchmark, while still considerably behind human performance.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Builds on 35 of its 53 references that are in the map. First posted on arXiv 16 Dec 2021.

Builds on

35 of 53 references.

References · 35

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23 more
  1. 2019Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approachcited by 308
  2. 2020Explainable Automated Fact-Checking for Public Health Claimscited by 211
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  4. 2021FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured informationcited by 167
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 8; 2024: 7; 2025: 1; 2026: 3.

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  1. 2023Factuality Challenges in the Era of Large Language Modelscited by 126
  2. 2024AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotatorscited by 28
  3. 2023EDIS: Entity-Driven Image Search over Multimodal Web Contentcited by 27
  4. 2024Generative Large Language Models in Automated Fact-Checking: A Surveycited by 19
  5. 2023From Chaos to Clarity: Claim Normalization to Empower Fact-Checkingcited by 17
  6. 2023LAraBench: Benchmarking Arabic AI with Large Language Modelscited by 16
  7. 2023Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecastingcited by 11
  8. 2022KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understandingcited by 9
  9. 2023SmartBook: AI-Assisted Situation Report Generation for Intelligence Analystscited by 9
  10. 2024Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?cited by 9
  11. 2023Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Mediacited by 8
  12. 2025Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learningcited by 5
8 more
  1. 2023Multilingual and Multi-topical Benchmark of Fine-tuned Language models and Large Language Models for Check-Worthy Claim Detectioncited by 2
  2. 2024Multilingual Models for Check-Worthy Social Media Posts Detectioncited by 2
  3. 2024VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inferencecited by 1
  4. 2024Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiabilitycited by 1
  5. 2026When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platformscited by 1
  6. 2024Ontology Enhanced Claim Detectioncited by 0
  7. 2026ClaimPT: A Portuguese Dataset of Annotated Claims in News Articlescited by 0
  8. 2026Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource Languagescited by 0