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Large Language Models (LLMs) have garnered significant attention for their powerful ability in natural language understanding and reasoning.
Vaibhav, V.; Annasamy, R. M.; and Hovy, E. 2019 · 1910
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Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
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DeBERTa: Decoding-enhanced BERT with Disentangled Attention
He, P.; Liu, X.; Gao, J.; and Chen, W. 2020 · 2006
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Information credibility on Twitter
Castillo, C.; Mendoza, M.; and Poblete, B. 2011 · 2011
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Detect rumors using time series of social context information on microblogging websites
Ma, J.; Gao, W.; Wei, Z.; Lu, Y.; and Wong, K.-F. 2015 · 2015
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Partisanship, propaganda, and disinformation: Online media and the 2016 US presidential election
Faris, R.; Roberts, H.; Etling, B.; Bourassa, N.; Zuckerman, E.; and Benkler, Y. 2017 · 2016
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Pizzagate: From rumor, to hashtag, to gunfire in DC
Fisher, M.; Cox, J. W.; and Hermann, P. 2016 · 2016
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2016 Lie of the Year: Fake news
Holan, A. D. 2016 · 2016
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Detecting rumors from microblogs with recurrent neural networks
Ma, J.; Gao, W.; Mitra, P.; Kwon, S.; Jansen, B. J.; Wong, K.-F.; and Cha, M. 2016 · 2016
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Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
Zubiaga, A.; Liakata, M.; and Procter, R. 2016 · 2016
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Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
Ma, J.; Gao, W.; and Wong, K.-F. 2017 · 2017
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Fake news detection on social media: A data mining perspective
Shu, K.; Sliva, A.; Wang, S.; Tang, J.; and Liu, H. 2017 · 2017
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A Convolutional Approach for Misinformation Identification
Yu, F.; Liu, Q.; Wu, S.; Wang, L.; Tan, T.; et al. 2017 · 2017
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Dual: A deep unified attention model with latent relation representations for fake news detection
Dong, M.; Yao, L.; Wang, X.; Benatallah, B.; Sheng, Q. Z.; and Huang, H. 2018 · 2018
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Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks
Liu, Y.; and Wu, Y. F. B. 2018 · 2018
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FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
Shu, K.; Mahudeswaran, D.; Wang, S.; Lee, D.; and Liu, H. 2018 · 2018
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CED: Credible Early Detection of Social Media Rumors
Song, C.; Tu, C.; Yang, C.; Liu, Z.; and Sun, M. 2018 · 2018
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The spread of true and false news online
Vosoughi, S.; Roy, D.; and Aral, S. 2018 · 2018
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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 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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exbake: Automatic fake news detection model based on bidirectional encoder representations from transformers (bert)
Jwa, H.; Oh, D.; Park, K.; Kang, J. M.; and Lim, H. 2019 · 2019
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Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning
Ma, J.; Gao, W.; and Wong, K. F. 2019 · 2019
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Rumor detection on social media with bi-directional graph convolutional networks
Bian, T.; Xiao, X.; Xu, T.; et al. 2020 · 2020
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Vroc: Variational autoencoder-aided multi-task rumor classifier based on text
Cheng, M.; Nazarian, S.; and Bogdan, P. 2020 · 2020
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GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Lu, Y.-J.; and Li, C.-T. 2020 · 2020
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Fang: Leveraging social context for fake news detection using graph representation
Nguyen, V.-H.; Sugiyama, K.; Nakov, P.; and Kan, M.-Y. 2020 · 2020
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Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
Yuan, C.; Ma, Q.; Zhou, W.; Han, J.; and Hu, S. 2020 · 2020
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GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Du, Z.; Qian, Y.; Liu, X.; Ding, M.; Qiu, J.; Yang, Z.; and Tang, J. 2021 · 2021
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FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
Kaliyar, R. K.; Goswami, A.; and Narang, P. 2021 · 2021
Cited alongside, same era.
Dual emotion based fake news detection: A deep attention-weight update approach
Luvembe, A. M.; Li, W.; Li, S.; Liu, F.; and Xu, G. 2023 · 2023
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LTCR: Long-Text Chinese Rumor Detection Dataset
Ma, Z.; Liu, M.; Fang, G.; and Shen, Y. 2023 · 2023
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A comprehensive overview of large language models
Naveed, H.; Khan, A. U.; Qiu, S.; Saqib, M.; Anwar, S.; Usman, M.; Barnes, N.; and Mian, A. 2023 · 2023
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Capabilities of GPT-4 on Medical Challenge Problems
Nori, H.; King, N.; McKinney, S. M.; Carignan, D.; and Horvitz, E. 2023 · 2023
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ChatGPT: Optimizing language models for dialogue
OpenAI. 2022 · 2023
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Temporally evolving graph neural network for fake news detection
Song, C.; Shu, K.; and Wu, B. 2021 · 2021
Cited alongside, same era.
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Wei, L.; Hu, D.; Zhou, W.; Yue, Z.; and Hu, S. 2021 · 2021
Cited alongside, same era.
au2, M. B. I.; and Katz, D. M. 2022 · 2022
Cited alongside, same era.
Training a helpful and harmless assistant with reinforcement learning from human feedback
Bai, Y.; Jones, A.; Ndousse, K.; Askell, A.; Chen, A.; DasSarma, N.; Drain, D.; Fort, S.; Ganguli, D.; Henighan, T.; et al. 2022 · 2022
Cited alongside, same era.
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
Hu, D.; Hou, X.; Du, X.; Zhou, M.; Jiang, L.; Mo, Y.; and Shi, X. 2022 · 2022
Cited alongside, same era.
Towards Robust False Information Detection on Social Networks with Contrastive Learning
Ma, G.; Hu, C.; Ge, L.; Chen, J.; Zhang, H.; and Zhang, R. 2022 · 2022
Cited alongside, same era.
Revisiting embeddings for graph neural networks
Purchase, S.; Zhao, A.; and Mullins, R. D. 2022 · 2022
Cited alongside, same era.
Mining user-aware multi-relations for fake news detection in large scale online social networks
Su, X.; Yang, J.; Wu, J.; and Zhang, Y. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Touvron, H.; Martin, L.; Stone, K.; Albert, P.; Almahairi, A.; Babaei, Y.; Bashlykov, N.; Batra, S.; Bhargava, P.; Bhosale, S.; et al. 2023 · 2023
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Ichter, B.; Xia, F.; Chi, E.; Le, Q.; and Zhou, D. 2023 · 2023
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DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
Wu, J.; and Hooi, B. 2023 · 2023
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Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning
Yin, F.; Vig, J.; Laban, P.; Joty, S.; Xiong, C.; and Wu, C.-S. 2023 · 2023
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A Survey of Large Language Models
Zhao, W. X.; Zhou, K.; Li, J.; Tang, T.; Wang, X.; Hou, Y.; Min, Y.; Zhang, B.; Zhang, J.; Dong, Z.; Du, Y.; Yang, C.; Chen, Y.; Chen, Z.; Jiang, J.; Ren, R.; Li, Y.; Tang, X.; Liu, Z.; Liu, P.; Nie, J.-Y.; and Wen, J.-R. 2023 · 2023
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Zheng, L.; Chiang, W.-L.; Sheng, Y.; Zhuang, S.; Wu, Z.; Zhuang, Y.; Lin, Z.; Li, Z.; Li, D.; Xing, E. P.; Zhang, H.; Gonzalez, J. E.; and Stoica, I. 2023 · 2023
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Combating misinformation in the age of llms: Opportunities and challenges
Chen, C.; and Shu, K. 2024 · 2024
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Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
Chen, M.; Wei, L.; Cao, H.; Zhou, W.; Yan, Z.; and Hu, S. 2024 · 2024
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Rumor Detection on Social Media with Event Augmentations
He, Z.; Li, C.; Zhou, F.; and Yang, Y. 2021 · 2024
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Bad actor, good advisor: Exploring the role of large language models in fake news detection
Hu, B.; Sheng, Q.; Cao, J.; Shi, Y.; Li, Y.; Wang, D.; and Qi, P. 2024 · 2024
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From Creation to Clarification: ChatGPT’s Journey Through the Fake News Quagmire
Huang, Y.; Shu, K.; Yu, P. S.; and Sun, L. 2024 · 2024
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Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
Nan, Q.; Sheng, Q.; Cao, J.; Hu, B.; Wang, D.; and Li, J. 2024 · 2024
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Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
Siska, C.; Marazopoulou, K.; Ailem, M.; and Bono, J. 2024 · 2024
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Dell: Generating reactions and explanations for llm-based misinformation detection
Wan, H.; Feng, S.; Tan, Z.; Wang, H.; Tsvetkov, Y.; and Luo, M. 2024 · 2024
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Fake News in Sheep’s Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
Wu, J.; Guo, J.; and Hooi, B. 2024 · 2024
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Yang, A.; Yang, B.; Hui, B.; Zheng, B.; Yu, B.; Zhou, C.; Li, C.; Li, C.; Liu, D.; Huang, F.; et al. 2024 · 2024
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User Preference-aware Fake News Detection
Dou, Y.; Shu, K.; Xia, C.; Yu, P. S.; and Sun, L. 2021 · 2055
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