Synthetic Misinformers: Generating and Combating Multimodal Misinformation-Reference-Cited by-同舟云学术

Synthetic Misinformers: Generating and Combating Multimodal Misinformation

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation
language:
Short-container-title:

Author:

Papadopoulos Stefanos-Iordanis¹^ORCID,Koutlis Christos²^ORCID,Papadopoulos Symeon²^ORCID,Petrantonakis Panagiotis³^ORCID

Affiliation:

1. Information Technologies Institute, Centre for Research and Technology Hellas, Greece and Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Greece

2. Information Technologies Institute, Centre for Research and Technology Hellas, Greece

3. Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Greece

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3592572.3592842

Reference29 articles.

1. Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources

2. COSMOS on Steroids

3. Firoj Alam , Stefano Cresci , Tanmoy Chakraborty , Fabrizio Silvestri , Dimiter Dimitrov , Giovanni Da San Martino , Shaden Shaar, Hamed Firooz, and Preslav Nakov. 2021 . A survey on multimodal disinformation detection. arXiv preprint arXiv:2103.12541 (2021). Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, and Preslav Nakov. 2021. A survey on multimodal disinformation detection. arXiv preprint arXiv:2103.12541 (2021).

4. Sentiment-aware Classifier for Out-of-Context Caption Detection

5. Shivangi Aneja , Chris Bregler , and Matthias Nießner . 2021 . Cosmos: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278 (2021). Shivangi Aneja, Chris Bregler, and Matthias Nießner. 2021. Cosmos: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278 (2021).

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures;Machine Learning and Knowledge Extraction;2024-07-09

2. VERITE: a Robust benchmark for multimodal misinformation detection accounting for unimodal bias;International Journal of Multimedia Information Retrieval;2024-01-08

3. MMOOC: A Multimodal Misinformation Dataset for Out-of-Context News Analysis;Lecture Notes in Computer Science;2024

4. Scoping Review on Image-Text Multimodal Machine Learning Models;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13