Research resources for Can Multimodal Large Language Models Generate and Detect Multimodal Social Media Fake News?, by Jiyao Yang, Yang Liu, Zhenyue Qin, Qingyu Chen, and Xiuzhen Zhang. 1.
Dataset Card
Research resources for Can Multimodal Large Language Models Generate and Detect Multimodal Social Media Fake News?, by Jiyao Yang, Yang Liu, Zhenyue Qin, Qingyu Chen, and Xiuzhen Zhang. 1. Sign in to your own Hugging Face account and complete the request form on this page. 2. Give your real name, university or research institution, institutional email, a public institutional profile or ORCID URL, and a short description of your research purpose. A detailed research-methodology or project-output proposal is not required. 3. Read and accept the Research Use License and Data Use Agreement, then submit the request. 4. Wait for manual review. The reviewer checks identity and affiliation against…
Excerpt from the card by Jiyao Yang, licensed other.
Details
- Repository
- Khat865/Mutilmodel_fake_news
- Publisher
- Jiyao Yang
- Task category
- Image classification
- Tags
- multimodal, fake-news-detection, misinformation
- Size category
- 1K<n<10K
- Languages
- en
- Revision
- d5ca25aea9ea2f28df700ee92e60d129a4cf863c
- Last updated
- 2026-09-22
Files
46 files, 5.4 GB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/mmfn_synthetic_images.tar.gz | Data | 5.4 GB | — |
| data/mmfn_synthetic_index.json | Data | 3.7 MB | — |
| evaluation/requirements.txt | Data | 190 B | — |
| generation/requirements.txt | Data | 211 B | — |
| manifests/RELEASE_INVENTORY.json | Data | 8.3 KB | — |
| manifests/RELEASE_SUMMARY.json | Data | 722 B | — |
| manifests/exclusions.json | Data | 13.6 KB | — |
| manifests/paper_index_fingerprints.json | Data | 4.2 MB | — |
| manifests/source_provenance.json | Data | 2.9 MB | — |
| DATASET_SCHEMA.md | Documentation | 3.3 KB | — |
| DATA_USE_AGREEMENT.md | Documentation | 3.7 KB | — |
| LICENSE | Documentation | 6.6 KB | — |
| README.md | Documentation | 9.5 KB | — |
| REPRODUCIBILITY.md | Documentation | 3.7 KB | — |
| evaluation/README.md | Documentation | 4.1 KB | — |
| generation/README.md | Documentation | 2.8 KB | — |
| prompts/README.md | Documentation | 612 B | — |
| prompts/detection.md | Documentation | 4.7 KB | — |
| prompts/generation.md | Documentation | 9.8 KB | — |
| prompts/geval.md | Documentation | 3.9 KB | — |
| CITATION.cff | Other | 631 B | — |
| SHA256SUMS | Other | 4.2 KB | — |
| evaluation/__init__.py | Other | 46 B | — |
| evaluation/clients.py | Other | 39.0 KB | — |
| evaluation/dataset.py | Other | 5.9 KB | — |
| evaluation/metrics.py | Other | 7.0 KB | — |
| evaluation/prompts.py | Other | 5.1 KB | — |
| evaluation/run_benchmark.py | Other | 10.7 KB | — |
| evaluation/summarize_results.py | Other | 2.2 KB | — |
| generation/__init__.py | Other | 152 B | — |
| generation/agents/__init__.py | Other | 208 B | — |
| generation/agents/llm_utils.py | Other | 3.4 KB | — |
| generation/agents/sentinel.py | Other | 10.8 KB | — |
| generation/agents/transformer.py | Other | 24.5 KB | — |
| generation/agents/visual_producer_sd_local.py | Other | 27.1 KB | — |
| generation/agents/visual_strategy_selector.py | Other | 4.1 KB | — |
| generation/pipeline/__init__.py | Other | — | |
| generation/pipeline/models.py | Other | 5.2 KB | — |
| generation/pipeline/poster_pipeline.py | Other | 12.7 KB | — |
| generation/run_generation.py | Other | 5.9 KB | — |
| generation/runtime.py | Other | 16.1 KB | — |
| generation/utils/__init__.py | Other | 65 B | — |
| generation/utils/image_utils.py | Other | 4.7 KB | — |
| generation/utils/news_loader.py | Other | 26.3 KB | — |
| generation/utils/prompt_templates.py | Other | 11.6 KB | — |
| .gitattributes | Repository | 45 B | — |
License and Download
- License
- other
- Access
- Access requested at publisher
Jiyao Yang grants access through its official repository on Hugging Face.