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Misinformation is often conveyed in multiple modalities, e.g.
The deepfake detection challenge (DFDC) preview dataset
Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, and Cristian Canton-Ferrer. 2019 · 1910
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Exploring the role of visual content in fake news detection
Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, and Jintao Li. 2020 · 2003
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Lying words: Predicting deception from linguistic styles
Matthew L Newman, James W Pennebaker, Diane S Berry, and Jane M Richards. 2003 · 2003
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Images and misinformation in political groups: Evidence from whatsapp in india
Kiran Garimella and Dean Eckles. 2020 · 2005
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A concise history of the fauxtography blogstorm in the 2006 lebanon war
Stephen Cooper. 2007 · 2006
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The israeli—hezbollah war of 2006: The media as a weapon in asymmetrical conflict
Marvin Kalb and Carol Saivetz. 2007 · 2006
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt D. Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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Openear - introducing the munich open-source emotion and affect recognition toolkit
Florian Eyben, Martin Wöllmer, and Björn W. Schuller. 2009 · 2009
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Contending with terms: “multimodal” and “multimedia” in the academic and public spheres
Claire Lauer. 2009 · 2009
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Nonprobative photographs (or words) inflate truthiness
Eryn J Newman, Maryanne Garry, Daniel M Bernstein, Justin Kantner, and D Stephen Lindsay. 2012 · 2012
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Recent developments in opensmile, the munich open-source multimedia feature extractor
Florian Eyben, Felix Weninger, Florian Groß, and Björn W. Schuller. 2013 · 2013
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Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, and Anupam Joshi. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Verification handbook
Craig Silverman. 2013 · 2013
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Challenges of computational verification in social multimedia
Christina Boididou, Symeon Papadopoulos, Yiannis Kompatsiaris, Steve Schifferes, and Nic Newman. 2014 · 2014
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling. 2014 · 2014
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The quest to automate fact-checking
Naeemul Hassan, Bill Adair, James T Hamilton, Chengkai Li, Mark Tremayne, Jun Yang, and Cong Yu. 2015a · 2015
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Detecting check-worthy factual claims in presidential debates
Naeemul Hassan, Chengkai Li, and Mark Tremayne. 2015b · 2015
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Deception detection using real-life trial data
Verónica Pérez-Rosas, Mohamed Abouelenien, Rada Mihalcea, and Mihai Burzo. 2015 · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2015 · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015 · 2015
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Detecting image splicing in the wild (WEB)
Markos Zampoglou, Symeon Papadopoulos, and Yiannis Kompatsiaris. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Development of a video tampering dataset for forensic investigation
Omar Ismael Al-Sanjary, Ahmed Abdullah Ahmed, and Ghazali Sulong. 2016 · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. 2017 · 2017
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Multimedia semantic integrity assessment using joint embedding of images and text
Ayush Jaiswal, Ekraam Sabir, Wael Abd-Almageed, and Premkumar Natarajan. 2017 · 2017
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Multimodal fusion with recurrent neural networks for rumor detection on microblogs
Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, and Jiebo Luo. 2017 · 2017
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The asvspoof 2017 challenge: Assessing the limits of replay spoofing attack detection
Tomi Kinnunen, Md. Sahidullah, Héctor Delgado, Massimiliano Todisco, Nicholas W. D. Evans, Junichi Yamagishi, and Kong-Aik Lee. 2017 · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Understanding the promise and limits of automated fact-checking
D Graves. 2018 · 2018
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Deepfake video detection using recurrent neural networks
David Guera and Edward J. Delp. 2018 · 2018
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The ps-battles dataset - an image collection for image manipulation detection
Silvan Heller, Luca Rossetto, and Heiko Schuldt. 2018 · 2018
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Fighting fake news: Image splice detection via learned self-consistency
Minyoung Huh, Andrew Liu, Andrew Owens, and Alexei A. Efros. 2018 · 2018
Earlier work this paper cites.
Journalism, fake news & disinformation: handbook for journalism education and training
Cherilyn Ireton and Julie Posetti. 2018 · 2018
Earlier work this paper cites.
Overview of the CLEF-2018 checkthat! lab on automatic identification and verification of political claims
Preslav Nakov, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Wajdi Zaghouani, Pepa Atanasova, Spas Kyuchukov, and Giovanni Da San Martino. 2018 · 2018
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Faceforensics: A large-scale video dataset for forgery detection in human faces
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner. 2018 · 2018
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Deep multimodal image-repurposing detection
Ekraam Sabir, Wael AbdAlmageed, Yue Wu, and Prem Natarajan. 2018 · 2018
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Automated fact checking: Task formulations, methods and future directions
James Thorne and Andreas Vlachos. 2018 · 2018
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The fact extraction and VERification (FEVER) shared task
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 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 · 2018
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Fauxbuster: A content-free fauxtography detector using social media comments
Daniel Yue Zhang, Lanyu Shang, Biao Geng, Shuyue Lai, Ke Li, Hongmin Zhu, Md. Tanvir Al Amin, and Dong Wang. 2018 · 2018
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Learning rich features for image manipulation detection
Peng Zhou, Xintong Han, Vlad I. Morariu, and Larry S. Davis. 2018 · 2018
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Protecting world leaders against deep fakes
Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li. 2019 · 2019
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Deepfake video detection through optical flow based CNN
Irene Amerini, Leonardo Galteri, Roberto Caldelli, and Alberto Del Bimbo. 2019 · 2019
Earlier work this paper cites.
Multimodal machine learning: A survey and taxonomy
Tadas Baltrusaitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2019 · 2019
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Deep multimodal representation learning: A survey
Wenzhong Guo, Jianwen Wang, and Shiping Wang. 2019 · 2019
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Towards automatic detection of misinformation in online medical videos
Rui Hou, Verónica Pérez-Rosas, Stacy L. Loeb, and Rada Mihalcea. 2019 · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
Earlier work this paper cites.
MVAE: multimodal variational autoencoder for fake news detection
Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, and Vasudeva Varma. 2019 · 2019
Cited alongside, same era.
Detecting deception in political debates using acoustic and textual features
Daniel Kopev, Ahmed Ali, Ivan Koychev, and Preslav Nakov. 2019 · 2019
Cited alongside, same era.
Phonespoof: A new dataset for spoofing attack detection in telephone channel
Galina Lavrentyeva, Sergey Novoselov, Marina Volkova, Yuri Matveev, and Maria De Marsico. 2019 · 2019
Cited alongside, same era.
Determining authenticity of video evidence in the age of artificial intelligence and in the wake of deepfake videos
Marie-Helen Maras and Alex Alexandrou. 2019 · 2019
Cited alongside, same era.
FSGAN: subject agnostic face swapping and reenactment
Yuval Nirkin, Yosi Keller, and Tal Hassner. 2019 · 2019
Cited alongside, same era.
Deepfakes and cheap fakes
Mulcob-mulfav: Multimodal content based multilingual fact verification
Arjun Roy and Asif Ekbal. 2021 · 2021
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A multimodal misinformation detector for COVID-19 short videos on tiktok
Lanyu Shang, Ziyi Kou, Yang Zhang, and Dong Wang. 2021 · 2021
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Deepfake video detection using convolutional vision transformer
Deressa Wodajo and Solomon Atnafu. 2021 · 2021
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Multimodal fusion with co-attention networks for fake news detection
Yang Wu, Pengwei Zhan, Yunjian Zhang, Liming Wang, and Zhen Xu. 2021 · 2021
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Half-truth: A partially fake audio detection dataset
Jiangyan Yi, Ye Bai, Jianhua Tao, Haoxin Ma, Zhengkun Tian, Chenglong Wang, Tao Wang, and Ruibo Fu. 2021 · 2021
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Britt Paris and Joan Donovan. 2019 · 2019
Cited alongside, same era.
Exploiting multi-domain visual information for fake news detection
Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, and Jintao Li. 2019 · 2019
Cited alongside, same era.
For: A dataset for synthetic speech detection
Ricardo Reimao and Vassilios Tzerpos. 2019 · 2019
Cited alongside, same era.
(mis)information dissemination in whatsapp: Gathering, analyzing and countermeasures
Gustavo Resende, Philipe F. Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara M. Almeida, and Fabrício Benevenuto. 2019 · 2019
Cited alongside, same era.
Recurrent convolutional strategies for face manipulation detection in videos
Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, and Prem Natarajan. 2019 · 2019
Cited alongside, same era.
Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
Yue Wu, Wael AbdAlmageed, and Premkumar Natarajan. 2019 · 2019
Cited alongside, same era.
Few-shot adversarial learning of realistic neural talking head models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor S. Lempitsky. 2019 · 2019
Cited alongside, same era.
Xia Zeng, Amani S. Abumansour, and Arkaitz Zubiaga. 2021 · 2021
Later among the works it cites.
Exploring temporal coherence for more general video face forgery detection
Yinglin Zheng, Jianmin Bao, Dong Chen, Ming Zeng, and Fang Wen. 2021 · 2021
Later among the works it cites.
Multi-modal misinformation detection: Approaches, challenges and opportunities
Sara Abdali. 2022 · 2022
Later among the works it cites.
Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources
Sahar Abdelnabi, Rakibul Hasan, and Mario Fritz. 2022 · 2022
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PubHealthTab: A public health table-based dataset for evidence-based fact checking
Mubashara Akhtar, Oana Cocarascu, and Elena Simperl. 2022 · 2022
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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. 2022 · 2022
Later among the works it cites.
Twitter-COMMs: Detecting climate, COVID, and military multimodal misinformation
Giscard Biamby, Grace Luo, Trevor Darrell, and Anna Rohrbach. 2022 · 2022
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MM-claims: A dataset for multimodal claim detection in social media
Gullal Singh Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, and Ralph Ewerth. 2022 · 2022
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A survey on automated fact-checking
Zhijiang Guo, Michael Schlichtkrull, and Andreas Vlachos. 2022 · 2022
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MMM: an emotion and novelty-aware approach for multilingual multimodal misinformation detection
Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, and Asif Ekbal. 2022 · 2022
Later among the works it cites.
Evidence-aware multilingual fake news detection
Hicham Hammouchi and Mounir Ghogho. 2022 · 2022
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Logical fallacy detection
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, and Bernhard Schoelkopf. 2022 · 2022
Later among the works it cites.
Multimodal cheapfakes detection by utilizing image captioning for global context
Tuan-Vinh La, Quang-Tien Tran, Thanh-Phuc Tran, Anh-Duy Tran, Duc-Tien Dang-Nguyen, and Minh-Son Dao. 2022 · 2022
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Pix2struct: Screenshot parsing as pretraining for visual language understanding
Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, and Kristina Toutanova. 2022 · 2022
Later among the works it cites.
Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency. 2022 · 2022
Later among the works it cites.
A modality-level explainable framework for misinformation checking in social networks
Vítor Lourenço and Aline Paes. 2022 · 2022
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FACTIFY: A multi-modal fact verification dataset
Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, and Asif Ekbal. 2022 · 2022
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Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset
Dan Saattrup Nielsen and Ryan McConville. 2022 · 2022
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Benchmarking multi-modal entailment for fact verification
Parth Patwa, Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Reganti, Amitava Das, Tanmoy Chakraborty, Amit Sheth, Asif Ekbal, and Chaitanya Ahuja. 2022 · 2022
Later among the works it cites.
Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, and Tat-Seng Chua. 2022 · 2022
Later among the works it cites.
Towards the detection of diffusion model deepfakes
Jonas Ricker, Simon Damm, Thorsten Holz, and Asja Fischer. 2022 · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Later among the works it cites.
Square one bias in NLP: Towards a multi-dimensional exploration of the research manifold
Sebastian Ruder, Ivan Vulić, and Anders Søgaard. 2022 · 2022
Later among the works it cites.
A duo-generative approach to explainable multimodal COVID-19 misinformation detection
Lanyu Shang, Ziyi Kou, Yang Zhang, and Dong Wang. 2022 · 2022
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Factdrill: A data repository of fact-checked social media content to study fake news incidents in india
Shivangi Singhal, Rajiv Ratn Shah, and Ponnurangam Kumaraguru. 2022 · 2022
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M2TR: multi-modal multi-scale transformers for deepfake detection
Junke Wang, Zuxuan Wu, Wenhao Ouyang, Xintong Han, Jingjing Chen, Yu-Gang Jiang, and Ser-Nam Li. 2022 · 2022
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End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, and Lifu Huang. 2022 · 2022
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MFAN: multi-modal feature-enhanced attention networks for rumor detection
Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, and Yongdong Zhang. 2022 · 2022
Later among the works it cites.
Reading and reasoning over chart images for evidence-based automated fact-checking
Mubashara Akhtar, Oana Cocarascu, and Elena Simperl. 2023 · 2023
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The CLEF-2023 checkthat! lab: Checkworthiness, subjectivity, political bias, factuality, and authority
Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Struß, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, and Preslav Nakov. 2023 · 2023
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Luca Guarnera, Oliver Giudice, and Sebastiano Battiato. 2023 · 2023
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MR2: A benchmark for multimodal retrieval-augmented rumor detection in social media
Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, and Philip S. Yu. 2023 · 2023
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COVID-VTS: fact extraction and verification on short video platforms
Fuxiao Liu, Yaser Yacoob, and Abhinav Shrivastava. 2023a · 2023
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Interpretable multimodal misinformation detection with logic reasoning
Hui Liu, Wenya Wang, and Haoliang Li. 2023b · 2023
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Df-platter: Multi-face heterogeneous deepfake dataset
Kartik Narayan, Harsh Agarwal, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, and Richa Singh. 2023 · 2023
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Two heads are better than one: Improving fake news video detection by correlating with neighbors
Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, and Tat-Seng Chua. 2023 · 2023
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Averitec: A dataset for real-world claim verification with evidence from the web
Michael Sejr Schlichtkrull, Zhijiang Guo, and Andreas Vlachos. 2023 · 2023
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Detecting and grounding multi-modal media manipulation
Rui Shao, Tianxing Wu, and Ziwei Liu. 2023 · 2023
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Graph interactive network with adaptive gradient for multi-modal rumor detection
Tiening Sun, Zhong Qian, Peifeng Li, and Qiaoming Zhu. 2023 · 2023
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Detecting out-of-context multimodal misinformation with interpretable neural-symbolic model
Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, and Yan Liu. 2023 · 2023
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Ruohan Zong, Yang Zhang, Lanyu Shang, and Dong Wang. 2023 · 2023
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Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge
Zhizheng Wu, Tomi Kinnunen, Nicholas W. D. Evans, Junichi Yamagishi, Cemal Hanilçi, Md. Sahidullah, and Aleksandr Sizov. 2015 · 2041
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Detecting cross-modal inconsistency to defend against neural fake news
Reuben Tan, Bryan A. Plummer, and Kate Saenko. 2020 · 2081
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Fact-checking meets fauxtography: Verifying claims about images
Dimitrina Zlatkova, Preslav Nakov, and Ivan Koychev. 2019 · 2099
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