mlsanityData to 7 Oct 2026

COVID-VTS: Fact Extraction and Verification on Short Video Platforms

arXiv 2302.07919 ↗First posted 15 Feb 2023cs.CV cs.AI cs.MMcited by 15

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Abstract (arXiv)

We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information involving short-duration videos with COVID19- focused information from both the real world and machine generation. We propose, TwtrDetective, an effective model incorporating cross-media consistency checking to detect token-level malicious tampering in different modalities, and generate explanations. Due to the scarcity of training data, we also develop an efficient and scalable approach to automatically generate misleading video posts by event manipulation or adversarial matching. We investigate several state-of-the-art models and demonstrate the superiority of TwtrDetective.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 33 of its 44 references that are in the map. First posted on arXiv 15 Feb 2023.

Builds on

33 of 44 references.

References · 33

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21 more
  1. 2020BERTweet: A pre-trained language model for English Tweetscited by 346
  2. 2019Attention on Attention for Image Captioningcited by 289
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  4. 2021CLIP2Video: Mastering Video-Text Retrieval via Image CLIPcited by 223
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Citing papers per year: 2023: 6; 2024: 5; 2025: 3; 2026: 1.

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  1. 2023HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Modelscited by 572
  2. 2023Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuningcited by 439
  3. 2023Multimodal Automated Fact-Checking: A Surveycited by 51
  4. 2023Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Leadcited by 40
  5. 2024FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Processcited by 25
  6. 2024Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Surveycited by 23
  7. 2024On the Vulnerability of LLM/VLM-Controlled Roboticscited by 15
  8. 2023DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documentscited by 7
  9. 2026From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wildcited by 3
  10. 2025Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluationcited by 1
  11. 2025FMNV: A Dataset of Media-Published News Videos for Fake News Detectioncited by 1
  12. 2023Anticipating Driving Behavior through Deep Learning-Based Policy Predictioncited by 0
3 more
  1. 2024Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detectioncited by 0
  2. 2024DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environmentscited by 0
  3. 2025Multimodal Learning for Fake News Detection in Short Videos Using Linguistically Verified Data and Heterogeneous Modality Fusioncited by 0