mlsanityData to 7 Oct 2026

UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims

arXiv 2109.09232 ↗First posted 19 Sep 2021cs.CL cs.LGcited by 6

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Abstract (arXiv)

Identifying check-worthy claims is often the first step of automated fact-checking systems. Tackling this task in a multilingual setting has been understudied. Encoding inputs with multilingual text representations could be one approach to solve the multilingual check-worthiness detection. However, this approach could suffer if cultural bias exists within the communities on determining what is check-worthy.In this paper, we propose a language identification task as an auxiliary task to mitigate unintended bias.With this purpose, we experiment joint training by using the datasets from CLEF-2021 CheckThat!, that contain tweets in English, Arabic, Bulgarian, Spanish and Turkish. Our results show that joint training of language identification and check-worthy claim detection tasks can provide performance gains for some of the selected languages.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 10 of its 30 references that are in the map. First posted on arXiv 19 Sep 2021.

Builds on

10 of 30 references.

References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 591
  4. 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
  5. 2018Automated Fact Checking: Task formulations, methods and future directionscited by 96
  6. 2020Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Mediacited by 46
  7. 2018Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthinesscited by 41
  8. 2020BanFakeNews: A Dataset for Detecting Fake News in Banglacited by 40
  9. 2021On the Role of Images for Analyzing Claims in Social Mediacited by 6
  10. 2021Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemiccited by 4

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 1; 2025: 1.

6 papers.

  1. 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
  2. 2021Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake Newscited by 23
  3. 2023Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusioncited by 4
  4. 2025Entity-aware Cross-lingual Claim Detection for Automated Fact-checkingcited by 3
  5. 2022Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twittercited by 2
  6. 2023AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regimecited by 0