mlsanityData to 7 Oct 2026

Matching Tweets With Applicable Fact-Checks Across Languages

arXiv 2202.07094 ↗First posted 14 Feb 2022cs.CLcited by 15

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Abstract (arXiv)

An important challenge for news fact-checking is the effective dissemination of existing fact-checks. This in turn brings the need for reliable methods to detect previously fact-checked claims. In this paper, we focus on automatically finding existing fact-checks for claims made in social media posts (tweets). We conduct both classification and retrieval experiments, in monolingual (English only), multilingual (Spanish, Portuguese), and cross-lingual (Hindi-English) settings using multilingual transformer models such as XLM-RoBERTa and multilingual embeddings such as LaBSE and SBERT. We present promising results for "match" classification (86% average accuracy) in four language pairs. We also find that a BM25 baseline outperforms or is on par with state-of-the-art multilingual embedding models for the retrieval task during our monolingual experiments. We highlight and discuss NLP challenges while addressing this problem in different languages, and we introduce a novel curated dataset of fact-checks and corresponding tweets for future research.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 22 of its 30 references that are in the map. First posted on arXiv 14 Feb 2022.

Builds on

22 of 30 references.

References · 22

  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. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  4. 2020Longformer: The Long-Document Transformercited by 3,362
  5. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 973
  6. 2019Passage Re-ranking with BERTcited by 629
  7. 2020Language-agnostic BERT Sentence Embeddingcited by 621
  8. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 591
  9. 2017Automatic Detection of Fake Newscited by 145
  10. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
  11. 2018Automated Fact Checking: Task formulations, methods and future directionscited by 96
  12. 2020Explainable Automated Fact-Checking: A Surveycited by 83
10 more
  1. 2020That is a Known Lie: Detecting Previously Fact-Checked Claimscited by 82
  2. 2018Towards Automated Factchecking: Developing an Annotation Schema and Benchmark for Consistent Automated Claim Detectioncited by 55
  3. 2020Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake Newscited by 48
  4. 2021Claim Matching Beyond English to Scale Global Fact-Checkingcited by 42
  5. 2020An Exploratory Study of COVID-19 Misinformation on Twittercited by 33
  6. 2020Generating Label Cohesive and Well-Formed Adversarial Claimscited by 27
  7. 2021COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learningcited by 26
  8. 2020Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformationcited by 15
  9. 2021Extractive and Abstractive Explanations for Fact-Checking and Evaluation of Newscited by 8
  10. 2020AMUSED: An Annotation Framework of Multi-modal Social Media Datacited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 5; 2025: 5; 2026: 1.

15 papers.

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  1. 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
  2. 2023The Perils & Promises of Fact-checking with Large Language Modelscited by 31
  3. 2024Claim Verification in the Age of Large Language Models: A Surveycited by 23
  4. 2022CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrievalcited by 14
  5. 2025Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checkingcited by 12
  6. 2025Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detectioncited by 8
  7. 2025Large Language Models for Multilingual Previously Fact-Checked Claim Detectioncited by 6
  8. 2023Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checkingcited by 5
  9. 2024Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkishcited by 4
  10. 2024Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Surveycited by 4
  11. 2025When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Editscited by 3
  12. 2022Query Rewriting for Effective Misinformation Discoverycited by 2
3 more
  1. 2026The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidencecited by 2
  2. 2024Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamicscited by 1
  3. 2025Agent-based Automated Claim Matching with Instruction-following LLMscited by 0