mlsanityData to 7 Oct 2026

Factify 2: A Multimodal Fake News and Satire News Dataset

arXiv 2304.03897 ↗First posted 8 Apr 2023cs.CL cs.CVcited by 23

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Abstract (arXiv)

The internet gives the world an open platform to express their views and share their stories. While this is very valuable, it makes fake news one of our society's most pressing problems. Manual fact checking process is time consuming, which makes it challenging to disprove misleading assertions before they cause significant harm. This is he driving interest in automatic fact or claim verification. Some of the existing datasets aim to support development of automating fact-checking techniques, however, most of them are text based. Multi-modal fact verification has received relatively scant attention. In this paper, we provide a multi-modal fact-checking dataset called FACTIFY 2, improving Factify 1 by using new data sources and adding satire articles. Factify 2 has 50,000 new data instances. Similar to FACTIFY 1.0, we have three broad categories - support, no-evidence, and refute, with sub-categories based on the entailment of visual and textual data. We also provide a BERT and Vison Transformer based baseline, which achieves 65% F1 score in the test set. The baseline codes and the dataset will be made available at https://github.com/surya1701/Factify-2.0.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). Builds on 15 of its 41 references that are in the map. First posted on arXiv 8 Apr 2023.

Builds on

15 of 41 references.

References · 15

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  3. 2021A Survey on Automated Fact-Checkingcited by 376
  4. 2020Explainable Automated Fact-Checking for Public Health Claimscited by 209
  5. 2019MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claimscited by 169
  6. 2017Automatic Detection of Fake Newscited by 145
  7. 2022End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Modelscited by 105
  8. 2020Fighting an Infodemic: COVID-19 Fake News Datasetcited by 82
  9. 2019A Richly Annotated Corpus for Different Tasks in Automated Fact-Checkingcited by 74
  10. 2019r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detectioncited by 53
  11. 2019Fact-Checking Meets Fauxtography: Verifying Claims About Imagescited by 52
  12. 2021Claim Matching Beyond English to Scale Global Fact-Checkingcited by 42
3 more
  1. 2018Fake News Identification on Twitter with Hybrid CNN and RNN Modelscited by 17
  2. 2020g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detectioncited by 14
  3. 2022Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verificationcited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 9; 2025: 7; 2026: 3.

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  1. 2024CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputscited by 56
  2. 2024Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMscited by 23
  3. 2023RED-DOT: Multimodal Fact-checking via Relevant Evidence Detectioncited by 18
  4. 2025AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Webcited by 17
  5. 2023FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answeringcited by 15
  6. 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoningcited by 14
  7. 2025TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detectioncited by 10
  8. 2025VLDBench Evaluating Multimodal Disinformation with Regulatory Alignmentcited by 8
  9. 2023Findings of Factify 2: Multimodal Fake News Detectioncited by 7
  10. 2026The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detectioncited by 6
  11. 2024Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkishcited by 4
  12. 2024MMCFND: Multimodal Multilingual Caption-aware Fake News Detection for Low-resource Indic Languagescited by 4
11 more
  1. 2025T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Searchcited by 4
  2. 2024"Image, Tell me your story!" Predicting the original meta-context of visual misinformationcited by 3
  3. 2025A Comprehensive Dataset for Human vs. AI Generated Text Detectioncited by 3
  4. 2024Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuningcited by 2
  5. 2024Overview of Factify5WQA: Fact Verification through 5W Question-Answeringcited by 2
  6. 2025Entailed Opinion Matters: Improving the Fact-Checking Performance of Language Models by Relying on their Entailment Abilitycited by 1
  7. 2026MultiCaption: Detecting disinformation using multilingual visual claimscited by 1
  8. 2023MalFake: A Multimodal Fake News Identification for Malayalam using Recurrent Neural Networks and VGG-16cited by 0
  9. 2024VEglue: Testing Visual Entailment Systems via Object-Aligned Joint Erasingcited by 0
  10. 2024WarCov -- Large multilabel and multimodal dataset from social platformcited by 0
  11. 2026AffectOmni: RL-Verifiable People-Centric Grounded Affective Reasoning for Social and Art-Related Scenescited by 0