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Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and prevent its spread.
Nonprobative photographs (or words) inflate truthiness
Eryn J Newman, Maryanne Garry, Daniel M Bernstein, Justin Kantner, and D Stephen Lindsay · 2012
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Multimedia semantic integrity assessment using joint embedding of images and text
Ayush Jaiswal, Ekraam Sabir, Wael AbdAlmageed, and Premkumar Natarajan · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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The disinformation order: Disruptive communication and the decline of democratic institutions
W Lance Bennett and Steven Livingston · 2018
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Verifying information with multimedia content on twitter: a comparative study of automated approaches
Christina Boididou, Stuart E Middleton, Zhiwei Jin, Symeon Papadopoulos, Duc-Tien Dang-Nguyen, Giulia Boato, and Yiannis Kompatsiaris · 2018
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Deep multimodal image-repurposing detection
Ekraam Sabir, Wael AbdAlmageed, Yue Wu, and Prem Natarajan · 2018
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Eann: Event adversarial neural networks for multi-modal fake news detection
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, and Jing Gao · 2018
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Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal · 2018
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The ps-battles dataset-an image collection for image manipulation detection
Silvan Heller, Luca Rossetto, and Heiko Schuldt · 2018
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Don’t just assume; look and answer: Overcoming priors for visual question answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi · 2018
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Fact-checking meets fauxtography: Verifying claims about images
Dimitrina Zlatkova, Preslav Nakov, and Ivan Koychev · 2019
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r/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Kai Nakamura, Sharon Levy, and William Yang Wang · 2019
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Mvae: Multimodal variational autoencoder for fake news detection
Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, and Vasudeva Varma · 2019
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Spotfake: A multi-modal framework for fake news detection
Shivangi Singhal, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru, and Shin’ichi Satoh · 2019
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Identifying nuances in fake news vs. satire: using semantic and linguistic cues
Or Levi, Pedram Hosseini, Mona Diab, and David A Broniatowski · 2019
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Rubi: Reducing unimodal biases for visual question answering
Remi Cadene, Corentin Dancette, Matthieu Cord, Devi Parikh, et al · 2019
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Too good to be true, too good not to share: the social utility of fake news
Andrew Duffy, Edson Tandoc, and Rich Ling · 2020
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Susceptibility to misinformation about covid-19 around the world
Jon Roozenbeek, Claudia R Schneider, Sarah Dryhurst, John Kerr, Alexandra LJ Freeman, Gabriel Recchia, Anne Marthe Van Der Bles, and Sander Van Der Linden · 2020
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Is a picture worth a thousand words? an empirical study of image content and social media engagement
Yiyi Li and Ying Xie · 2020
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Newsbag: A multimodal benchmark dataset for fake news detection
Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, and Tanmoy Chakraborty · 2020
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Visual news: Benchmark and challenges in news image captioning
Fuxiao Liu, Yinghan Wang, Tianlu Wang, and Vicente Ordonez · 2020
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Multimodal analytics for real-world news using measures of cross-modal entity consistency
Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, and Ralph Ewerth · 2020
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Multimodal disinformation about otherness on the internet. the spread of racist, xenophobic and islamophobic fake news in 2020
José Gamir-Ríos, Raquel Tarullo, Miguel Ibáñez-Cuquerella, et al · 2021
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Combating multimodal fake news on social media: methods, datasets, and future perspective
Sakshini Hangloo and Bhavna Arora · 2022
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Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset
Dan S Nielsen and Ryan McConville · 2022
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Bcmf: A bidirectional cross-modal fusion model for fake news detection
Chuanming Yu, Yinxue Ma, Lu An, and Gang Li · 2022
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Acm multimedia grand challenge on detecting cheapfakes
Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, and Balu Adsumilli · 2022
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Frozen clip models are efficient video learners
Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, and Hongsheng Li · 2022
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A comprehensive review on fake news detection with deep learning
Muhammad F Mridha, Ashfia Jannat Keya, Md Abdul Hamid, Muhammad Mostafa Monowar, and Md Saifur Rahman · 2021
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A survey on multimodal disinformation detection
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, and Preslav Nakov · 2021
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Newsclippings: Automatic generation of out-of-context multimodal media
Grace Luo, Trevor Darrell, and Anna Rohrbach · 2021
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Cosmos: Catching out-of-context misinformation with self-supervised learning
Shivangi Aneja, Chris Bregler, and Matthias Nießner · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Twitter-comms: Detecting climate, covid, and military multimodal misinformation
Giscard Biamby, Grace Luo, Trevor Darrell, and Anna Rohrbach · 2021
Cited alongside, same era.
Mmsys’ 21 grand challenge on detecting cheapfakes
Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Paal Halvorsen, Matthias Nießner, Balu Adsumilli, and Chris Bregler · 2021
Cited alongside, same era.
Audioclip: Extending clip to image, text and audio
Andrey Guzhov, Federico Raue, Jörn Hees, and Andreas Dengel · 2022
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Clip-event: Connecting text and images with event structures
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, and Shih-Fu Chang · 2022
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Leveraging intra and inter modality relationship for multimodal fake news detection
Shivangi Singhal, Tanisha Pandey, Saksham Mrig, Rajiv Ratn Shah, and Ponnurangam Kumaraguru · 2022
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Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources
Sahar Abdelnabi, Rakibul Hasan, and Mario Fritz · 2022
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Mm-claims: a dataset for multimodal claim detection in social media
Gullal S Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, and Ralph Ewerth · 2022
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Synthetic misinformers: Generating and combating multimodal misinformation
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, and Panagiotis Petrantonakis · 2023
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Ino at factify 2: Structure coherence based multi-modal fact verification
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Multimodal fake news detection via clip-guided learning
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Improving generalization for multimodal fake news detection
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Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Multimodal fake news detection via progressive fusion networks
Jing Jing, Hongchen Wu, Jie Sun, Xiaochang Fang, and Huaxiang Zhang · 2023
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The age of synthetic realities: Challenges and opportunities
João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel, and Anderson Rocha · 2023
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Multimodal automated fact-checking: A survey
Akhtar Mubashara, Schlichtkrull Michael, Guo Zhijiang, Cocarascu Oana, Simperl Elena, and Vlachos Andreas · 2023
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