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Traditional fact-checking relies on humans to formulate relevant and targeted fact-checking questions (FCQs), search for evidence, and verify the factuality of claims.
r/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Kai Nakamura, Sharon Levy, and William Yang Wang. 2019 · 1911
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Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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Language models are few-shot learners
Tom B Brown. 2020 · 2005
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Visual news: Benchmark and challenges in news image captioning
Fuxiao Liu, Yinghan Wang, Tianlu Wang, and Vicente Ordonez. 2020 · 2010
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Mm-covid: A multilingual and multimodal data repository for combating covid-19 disinformation
Yichuan Li, Bohan Jiang, Kai Shu, and Huan Liu. 2020 · 2011
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Fact checking: Task definition and dataset construction
Andreas Vlachos and Sebastian Riedel. 2014 · 2014
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Toward automated fact-checking: Detecting check-worthy factual claims by claimbuster
Naeemul Hassan, Fatma Arslan, Chengkai Li, and Mark Tremayne. 2017 · 2017
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Fully automated fact checking using external sources
Georgi Karadzhov, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, and Ivan Koychev. 2017 · 2017
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Understanding the promise and limits of automated fact-checking
D Graves. 2018 · 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 · 2018
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Fact-checking as idea and practice in journalism
Lucas Graves and Michelle Amazeen. 2019 · 2019
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Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019 · 2019
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Automated fact checking in the news room
Sebastião Miranda, David Nogueira, Afonso Mendes, Andreas Vlachos, Andrew Secker, Rebecca Garrett, Jeff Mitchel, and Zita Marinho. 2019 · 2019
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Combining fact extraction and verification with neural semantic matching networks
Yixin Nie, Haonan Chen, and Mohit Bansal. 2019 · 2019
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Learning from fact-checkers: analysis and generation of fact-checking language
Nguyen Vo and Kyumin Lee. 2019 · 2019
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Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2020 · 2020
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Unified vision-language pre-training for image captioning and vqa
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason Corso, and Jianfeng Gao. 2020 · 2020
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Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection
Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen McKeown, Mohit Bansal, and Avirup Sil. 2021 · 2021
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Automated fact-checking for assisting human fact-checkers
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, and Giovanni Da San Martino. 2021 · 2021
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Counterfactual inference for text classification debiasing
Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, and Pengjun Xie. 2021 · 2021
Cited alongside, same era.
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 · 2021
Cited alongside, same era.
Detecting fake news stories via multimodal analysis
Vivek K Singh, Isha Ghosh, and Darshan Sonagara. 2021 · 2021
Cited alongside, same era.
Multi-modal misinformation detection: Approaches, challenges and opportunities
Sara Abdali, Bhaskar Krishnamachari, et al. 2022 · 2022
Cited alongside, same era.
LangChain
Harrison Chase. 2022 · 2022
Cited alongside, same era.
Generating literal and implied subquestions to fact-check complex claims
A semi-supervised fake news detection using sentiment encoding and lstm with self-attention
Pouya Shaeri and Ali Katanforoush. 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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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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A comprehensive survey of multimodal fake news detection techniques: advances, challenges, and opportunities
Shivani Tufchi, Ashima Yadav, and Tanveer Ahmed. 2023 · 2023
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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. 2023 · 2023
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Jifan Chen, Aniruddh Sriram, Eunsol Choi, and Greg Durrett. 2022 · 2022
Cited alongside, same era.
A survey on automated fact-checking
Zhijiang Guo, Michael Schlichtkrull, and Andreas Vlachos. 2022 · 2022
Cited alongside, same era.
Factify: A multi-modal fact verification dataset
Shreyash Mishra, S Suryavardan, Amrit Bhaskar, Parul Chopra, Aishwarya N Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P Sheth, Asif Ekbal, et al. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
Multimodal automated fact-checking: A survey
Mubashara Akhtar, Michael Schlichtkrull, Zhijiang Guo, Oana Cocarascu, Elena Simperl, and Andreas Vlachos. 2023 · 2023
Cited alongside, same era.
Can llm-generated misinformation be detected?
Canyu Chen and Kai Shu. 2023 · 2023
Cited alongside, same era.
Causal intervention and counterfactual reasoning for multi-modal fake news detection
Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, and Liqiang Nie. 2023 · 2023
Cited alongside, same era.
Towards llm-based fact verification on news claims with a hierarchical step-by-step prompting method
Xuan Zhang and Wei Gao. 2023 · 2023
Later among the works it cites.
Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, and Huan Liu. 2024 · 2024
Closest in time.
Paligemma: A versatile 3b vlm for transfer
Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, et al. 2024 · 2024
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Factcheck.org - monitoring factual accuracy in u.s. politics
FactCheck. 2024 · 2024
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Multimodal large language models to support real-world fact-checking
Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, and Iryna Gurevych. 2024 · 2024
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Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al. 2024 · 2024
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Disinformation detection: An evolving challenge in the age of llms
Bohan Jiang, Zhen Tan, Ayushi Nirmal, and Huan Liu. 2024a · 2024
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Vila: On pre-training for visual language models
Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, and Song Han. 2024 · 2024
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Politifact - fact-checking u.s. politics
PolitiFact. 2024 · 2024
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Principles of politifact and the truth-o-meter
PolitiFact.com. 2011 · 2024
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Surprising efficacy of fine-tuned transformers for fact-checking over larger language models
Vinay Setty. 2024 · 2024
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Snopes - the definitive fact-checking resource
Snopes. 2024 · 2024
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Llama 3.1: An in-depth analysis of the next-generation large language model
Raja Vavekanand and Kira Sam. 2024 · 2024
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