Fetching the paper…
Reading the bibliography…
The proliferation of disinformation demands reliable and scalable fact-checking solutions.
Understanding the Use of Fauxtography on Social Media, 2020
Wang, Y., Tahmasbi, F., Blackburn, J., Bradlyn, B., De Cristofaro, E., Magerman, D., Zannettou, S., and Stringhini, G · 2009
Earlier work this paper cites.
Nonprobative photographs (or words) inflate truthiness
Newman, E. J., Garry, M., Bernstein, D. M., Kantner, J., and Lindsay, D. S · 2012
Earlier work this paper cites.
Detecting Check-worthy Factual Claims in Presidential Debates
Hassan, N., Li, C., and Tremayne, M · 2015
Earlier work this paper cites.
Bias and fairness in large language models: A survey
Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., and Ahmed, N. K · 2017
Earlier work this paper cites.
Claimbuster: the first-ever end-to-end fact-checking system
Hassan, N., Zhang, G., Arslan, F., Caraballo, J., Jimenez, D., Gawsane, S., Hasan, S., Joseph, M., Kulkarni, A., Nayak, A. K., Sable, V., Li, C., and Tremayne, M · 2017
Earlier work this paper cites.
Multimedia semantic integrity assessment using joint embedding of images and text
Jaiswal, A., Sabir, E., AbdAlmageed, W., and Natarajan, P · 2017
Earlier work this paper cites.
Deep multimodal image-repurposing detection
Sabir, E., AbdAlmageed, W., Wu, Y., and Natarajan, P · 2018
Earlier work this paper cites.
FEVER: a large-scale dataset for fact extraction and VERification
Thorne, J., Vlachos, A., Christodoulopoulos, C., and Mittal, A · 2018
Earlier work this paper cites.
Eann: Event adversarial neural networks for multi-modal fake news detection
Wang, Y., Ma, F., Jin, Z., Yuan, Y., Xun, G., Jha, K., Su, L., and Gao, J · 2018
Earlier work this paper cites.
On the Origins of Memes by Means of Fringe Web Communities, 2018
Zannettou, S., Caulfield, T., Blackburn, J., De Cristofaro, E., Sirivianos, M., Stringhini, G., and Suarez-Tangil, G · 2018
Earlier work this paper cites.
A picture paints a thousand lies? The effects and mechanisms of multimodal disinformation and rebuttals disseminated via social media
Hameleers, M., Powell, T. E., Van Der Meer, T. G. L. A., and Bos, L · 2019
Earlier work this paper cites.
Fact-checking meets fauxtography: Verifying claims about images
Zlatkova, D., Nakov, P., and Koychev, I · 2019
Earlier work this paper cites.
Generating fact checking explanations
Atanasova, P., Simonsen, J. G., Lioma, C., and Augenstein, I · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-t., Rocktäschel, T., Riedel, S., and Kiela, D · 2020
Earlier work this paper cites.
Is a Picture Worth a Thousand Words? An Empirical Study of Image Content and Social Media Engagement
Li, Y. and Xie, Y · 2020
Earlier work this paper cites.
On faithfulness and factuality in abstractive summarization
Maynez, J., Narayan, S., Bohnet, B., and McDonald, R · 2020
Earlier work this paper cites.
Multimodal analytics for real-world news using measures of cross-modal entity consistency
Müller-Budack, E., Theiner, J., Diering, S., Idahl, M., and Ewerth, R · 2020
Earlier work this paper cites.
Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Nakamura, K., Levy, S., and Wang, W. Y · 2020
Earlier work this paper cites.
Cosmos: Catching out-of-context misinformation with self-supervised learning
Aneja, S., Bregler, C., and Nießner, M · 2021
Earlier work this paper cites.
The Psychology of Fake News: Accepting, Sharing, and Correcting Misinformation
Greifeneder, R., Jaffe, M., Newman, E., and Schwarz, N · 2021
Earlier work this paper cites.
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
Luo, G., Darrell, T., and Rohrbach, A · 2021
Earlier work this paper cites.
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
Luo, G., Darrell, T., and Rohrbach, A · 2021
Earlier work this paper cites.
Fact-checking interventions as counteroffensives to disinformation growth: Standards, values, and practices in latin america and spain
Moreno Gil, V., Ramon, X., and rodriguez martinez, R · 2021
Earlier work this paper cites.
Improving evidence retrieval for automated explainable fact-checking
Samarinas, C., Hsu, W., and Lee, M. L · 2021
Earlier work this paper cites.
Open-domain, content-based, multi-modal fact-checking of out-of-context images via online resources
Abdelnabi, S., Hasan, R., and Fritz, M · 2022
Earlier work this paper cites.
Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset
Nielsen, D. S. and McConville, R · 2022
Earlier work this paper cites.
Reading and reasoning over chart images for evidence-based automated fact-checking
Akhtar, M., Cocarascu, O., and Simperl, E · 2023
Cited alongside, same era.
Multimodal Automated Fact-Checking: A Survey
Akhtar, M., Schlichtkrull, M., Guo, Z., Cocarascu, O., Simperl, E., and Vlachos, A · 2023
Cited alongside, same era.
Are large language models good fact checkers: A preliminary study
Cao, H., Wei, L., Chen, M., Zhou, W., and Hu, S · 2023
Cited alongside, same era.
GeoCLIP: Clip-inspired alignment between locations and images for effective worldwide geo-localization
Cepeda, V. V., Nayak, G. K., and Shah, M · 2023
Cited alongside, same era.
Factllama: Optimizing instruction-following language models with external knowledge for automated fact-checking
Cheung, T.-H. and Lam, K.-M · 2023
Cited alongside, same era.
RAGAR, your falsehood radar: RAG-augmented reasoning for political fact-checking using multimodal large language models
Khaliq, M. A., Chang, P. Y.-C., Ma, M., Pflugfelder, B., and Miletić, F · 2024
Closest in time.
Task contamination: Language models may not be few-shot anymore
Li, C. and Flanigan, J · 2024
Closest in time.
Self-checker: Plug-and-play modules for fact-checking with large language models
Li, M., Peng, B., Galley, M., Gao, J., and Zhang, Z · 2024
Closest in time.
Improving faithfulness of large language models in summarization via sliding generation and self-consistency
Li, T., Li, Z., and Zhang, Y · 2024
Closest in time.
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
Qi, P., Yan, Z., Hsu, W., and Lee, M. L · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Benchmarks for automated commonsense reasoning: A survey
Davis, E · 2023
Cited alongside, same era.
Fact-checking complex claims with program-guided reasoning
Pan, L., Wu, X., Lu, X., Luu, A. T., Wang, W. Y., Kan, M.-Y., and Nakov, P · 2023
Cited alongside, same era.
Red-dot: Multimodal fact-checking via relevant evidence detection
Papadopoulos, S.-I., Koutlis, C., Papadopoulos, S., and Petrantonakis, P. C · 2023
Cited alongside, same era.
Detecting and grounding multi-modal media manipulation
Shao, R., Wu, T., and Liu, Z · 2023
Cited alongside, same era.
Vipergpt: Visual inference via python execution for reasoning
Surís, D., Menon, S., and Vondrick, C · 2023
Cited alongside, same era.
End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models
Yao, B. M., Shah, A., Sun, L., Cho, J.-H., and Huang, L · 2023
Cited alongside, same era.
Socratic models: Composing zero-shot multimodal reasoning with language
Zeng, A., Attarian, M., brian ichter, Choromanski, K. M., Wong, A., Welker, S., Tombari, F., Purohit, A., Ryoo, M. S., Sindhwani, V., Lee, J., Vanhoucke, V., and Florence, P · 2023
Cited alongside, same era.
Roberts, J., Lüddecke, T., Sheikh, R., Han, K., and Albanie, S · 2024
Closest in time.
InFact: A strong baseline for automated fact-checking
Rothermel, M., Braun, T., Rohrbach, M., and Rohrbach, A · 2024
Closest in time.
The automated verification of textual claims (AVeriTeC) shared task
Schlichtkrull, M., Chen, Y., Whitehouse, C., Deng, Z., Akhtar, M., Aly, R., Guo, Z., Christodoulopoulos, C., Cocarascu, O., Mittal, A., Thorne, J., and Vlachos, A · 2024
Closest in time.
Contrastive learning to improve retrieval for real-world fact checking
Sriram, A., Xu, F., Choi, E., and Durrett, G · 2024
Closest in time.
Multimodal misinformation detection using large vision-language models
Tahmasebi, S., Müller-Budack, E., and Ewerth, R · 2024
Closest in time.
M3D: MultiModal MultiDocument fine-grained inconsistency detection
Tang, C.-W., Chen, T.-C., Nguyen, K. A., Mehrab, K. S., Ishmam, A. M., and Thomas, C · 2024
Closest in time.
“Image, tell me your story!” Predicting the original meta-context of visual misinformation
Tonglet, J., Moens, M.-F., and Gurevych, I · 2024
Closest in time.
Detecting out-of-context media with llama-adapter v2 and roberta: An effective method for cheapfakes detection
Vo-Hoang, H.-V., Pham, L.-K., and Dao, M.-S · 2024
Closest in time.
Generative large language models in automated fact-checking: A survey
Vykopal, I., Pikuliak, M., Ostermann, S., and Šimko, M · 2024
Closest in time.
Factcheck-bench: Fine-grained evaluation benchmark for automatic fact-checkers
Wang, Y., Gangi Reddy, R., Mujahid, Z. M., Arora, A., Rubashevskii, A., Geng, J., Mohammed Afzal, O., Pan, L., Borenstein, N., Pillai, A., Augenstein, I., Gurevych, I., and Nakov, P · 2024
Closest in time.
The global risks report 2024, 2024
World Economic Forum · 2024
Closest in time.
Mmooc: A multimodal misinformation dataset for out-of-context news analysis
Xu, Q., Du, H., Chen, H., Liu, B., and Yu, X · 2024
Closest in time.
Take it easy: Label-adaptive self-rationalization for fact verification and explanation generation
Yang, J. and Rocha, A · 2024
Closest in time.
Multimodal misinformation detection by learning from synthetic data with multimodal LLMs
Zeng, F., Li, W., Gao, W., and Pang, Y · 2024
Closest in time.
Multimodal misinformation detection by learning from synthetic data with multimodal LLMs
Zeng, F., Li, W., Gao, W., and Pang, Y · 2024
Closest in time.
PACAR: Automated fact-checking with planning and customized action reasoning using large language models
Zhao, X., Wang, L., Wang, Z., Cheng, H., Zhang, R., and Wong, K.-F · 2024
Closest in time.
Correcting misinformation on social media with a large language model
Zhou, X., Sharma, A., Zhang, A. X., and Althoff, T · 2024
Closest in time.
Fact-checkers, targeted by MAGA loyalists, blast Zuckerberg’s assertion their work was ‘biased’, 2025
CNN · 2025
Closest in time.
MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs
Liu, X., Li, Z., Li, P., Xia, S., Cui, X., Huang, L., Huang, H., Deng, W., and He, Z · 2025
Closest in time.
URL https://ai.meta.com/blog/llama-4-multimodal-intelligence/
Meta AI, 2025 · 2025
Closest in time.
“liar, liar pants on fire”: A new benchmark dataset for fake news detection
Wang, W. Y · 2067
Closest in time.