mlsanityData to 7 Oct 2026

MiRAGeNews: Multimodal Realistic AI-Generated News Detection

arXiv 2410.09045 ↗First posted 11 Oct 2024cs.CV cs.CLcited by 15

Not on the map. Why?

Abstract (arXiv)

The proliferation of inflammatory or misleading "fake" news content has become increasingly common in recent years. Simultaneously, it has become easier than ever to use AI tools to generate photorealistic images depicting any scene imaginable. Combining these two -- AI-generated fake news content -- is particularly potent and dangerous. To combat the spread of AI-generated fake news, we propose the MiRAGeNews Dataset, a dataset of 12,500 high-quality real and AI-generated image-caption pairs from state-of-the-art generators. We find that our dataset poses a significant challenge to humans (60% F-1) and state-of-the-art multi-modal LLMs (< 24% F-1). Using our dataset we train a multi-modal detector (MiRAGe) that improves by +5.1% F-1 over state-of-the-art baselines on image-caption pairs from out-of-domain image generators and news publishers. We release our code and data to aid future work on detecting AI-generated content.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 23 of its 32 references that are in the map. First posted on arXiv 11 Oct 2024.

Builds on

23 of 32 references.

References · 23

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  4. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  5. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  6. 2020Concept Bottleneck Modelscited by 1,022
  7. 2019CNN-generated images are surprisingly easy to spot... for nowcited by 842
  8. 2023EVA-CLIP: Improved Training Techniques for CLIP at Scalecited by 786
  9. 2023Towards Universal Fake Image Detectors that Generalize Across Generative Modelscited by 483
  10. 2023DIRE for Diffusion-Generated Image Detectioncited by 386
  11. 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Imagecited by 318
  12. 2022Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classificationcited by 310
11 more
  1. 2018FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Mediacited by 281
  2. 2022DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Modelscited by 167
  3. 2024RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectorscited by 157
  4. 2021Are GAN generated images easy to detect? A critical analysis of the state-of-the-artcited by 139
  5. 2023MAGE: Machine-generated Text Detection in the Wildcited by 130
  6. 2021ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysiscited by 124
  7. 2023M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detectioncited by 118
  8. 2023Detecting and Grounding Multi-Modal Media Manipulationcited by 98
  9. 2023Detecting and Grounding Multi-Modal Media Manipulation and Beyondcited by 55
  10. 2022There is a Time and Place for Reasoning Beyond the Imagecited by 22
  11. 2023Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneckcited by 21

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 6; 2026: 9.

15 papers.

Sort:

By area:

  1. 2025The Coherence Trap: When MLLM-Crafted Narratives Exploit Manipulated Visual Contextscited by 8
  2. 2025M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Datasetcited by 7
  3. 2025Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detectioncited by 6
  4. 2026The Paradigm Shift: A Comprehensive Survey on Large Vision Language Models for Multimodal Fake News Detectioncited by 6
  5. 2025Beyond Artificial Misalignment: Detecting and Grounding Semantic-Coordinated Multimodal Manipulationscited by 4
  6. 2026More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Productioncited by 3
  7. 2025Could AI Trace and Explain the Origins of AI-Generated Images and Text?cited by 1
  8. 2026REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detectioncited by 1
  9. 2025Insight-A: Attribution-aware for Multimodal Misinformation Detectioncited by 0
  10. 2026Detecting AI-Generated Content on Social Media with Multi-modal Language Modelscited by 0
  11. 2026ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detectioncited by 0
  12. 2026What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Studycited by 0
3 more
  1. 2026Mandela-Bench: Multimodal Models Remember Canonical Images Instead of Seeing Themcited by 0
  2. 2026MIC: Explaining Image-Claim Inconsistencies in AI-Generated Multimodal Misinformationcited by 0
  3. 2026Can Multimodal Large Language Models Generate and Detect Multimodal Social Media Fake News?cited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
  2. 2024CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News Detection
  3. 2025Exploring Modality Disruption in Multimodal Fake News Detection
  4. 2025Mirage: Unveiling Hidden Artifacts in Synthetic Images with Large Vision-Language Models
  5. 2025AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
  6. 2025KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection
  7. 2024FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs
  8. 2025Modality Interactive Mixture-of-Experts for Fake News Detection