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Misinformation is prevalent in various fields such as education, politics, health, etc., causing significant harm to society.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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A deep learning approach for automatic detection of fake news
Tanik Saikh, Arkadipta De, Asif Ekbal, and Pushpak Bhattacharyya. 2020 · 2005
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A theory of narrative empathy
Suzanne Keen. 2006 · 2006
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Emotion analysis: A survey
Nida Manzoor Hakak, Mohsin Mohd, Mahira Kirmani, and Mudasir Mohd. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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All-in-one: Multi-task learning for rumour verification
Elena Kochkina, Maria Liakata, and Arkaitz Zubiaga. 2018 · 2018
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Automatic detection of fake news
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea. 2018 · 2018
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Science audiences, misinformation, and fake news
Dietram A Scheufele and Nicole M Krause. 2019 · 2019
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Multitask mixture of sequential experts for user activity streams
Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, and Jingzheng Qin. 2020 · 2020
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Motivations, methods and metrics of misinformation detection: an nlp perspective
Qi Su, Mingyu Wan, Xiaoqian Liu, and Chu-Ren Huang. 2020 · 2020
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Sentibert: A transferable transformer-based architecture for compositional sentiment semantics
Da Yin, Tao Meng, and Kai-Wei Chang. 2020 · 2020
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Mdfend: Multi-domain fake news detection
Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, and Jintao Li. 2021 · 2021
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Embracing domain differences in fake news: Cross-domain fake news detection using multi-modal data
Amila Silva, Ling Luo, Shanika Karunasekera, and Christopher Leckie. 2021 · 2021
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Emotion-guided cross-domain fake news detection using adversarial domain adaptation
Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Vishwakarma, and Mukesh Prasad. 2022 · 2022
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Sentiment-aware fake news detection on social media with hypergraph attention networks
Diwen Dong, Fuqiang Lin, Guowei Li, and Bo Liu. 2022a · 2022
Cited alongside, same era.
Contrastive domain adaptation for early misinformation detection: A case study on covid-19
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, and Dong Wang. 2022 · 2022
Cited alongside, same era.
Sentiment analysis-based social network rumor detection model with bi-directional graph convolutional networks
Xuewen Zhang, Yaxiong Pan, Xiao Gu, and Gang Liang. 2023b · 2022
Cited alongside, same era.
Factllama: Optimizing instruction-following language models with external knowledge for automated fact-checking
Tsun-Hin Cheung and Kin-Man Lam. 2023 · 2023
Cited alongside, same era.
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al. 2023 · 2023
Cited alongside, same era.
Learning to retrieve in-context examples for large language models
Liang Wang, Nan Yang, and Furu Wei. 2023 · 2023
Later among the works it cites.
Metaadapt: Domain adaptive few-shot misinformation detection via meta learning
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, and Dong Wang. 2023 · 2023
Later among the works it cites.
Bad actor, good advisor: Exploring the role of large language models in fake news detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi. 2024 · 2024
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Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, and Hao Liao. 2024 · 2024
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Conspemollm: Conspiracy theory detection using an emotion-based large language model
Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, and Sophia Ananiadou. 2024b · 2024
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Towards self-supervised cross-domain fake news detection
Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, and Giuseppe Manco. 2023 · 2023
Cited alongside, same era.
Misinformation and its effects on individuals and society from 2015-2023: A mixed methods review study
Nicholas Della Giustina. 2023 · 2023
Cited alongside, same era.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
Cited alongside, same era.
Coco: an annotated twitter dataset of covid-19 conspiracy theories
Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, and Konstantin Pogorelov. 2023 · 2023
Cited alongside, same era.
Self-checker: Plug-and-play modules for fact-checking with large language models
Miaoran Li, Baolin Peng, and Zhu Zhang. 2023 · 2023
Cited alongside, same era.
A practical survey on zero-shot prompt design for in-context learning
Yinheng Li. 2023 · 2023
Cited alongside, same era.
Adapt in contexts: Retrieval-augmented domain adaptation via in-context learning
Quanyu Long, Wenya Wang, and Sinno Jialin Pan. 2023 · 2023
Cited alongside, same era.
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Gemma: Open models based on gemini research and technology
Gemma Team, Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, et al. 2024 · 2024
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Mmdfnd: Multi-modal multi-domain fake news detection
Yu Tong, Weihai Lu, Zhe Zhao, Song Lai, and Tong Shi. 2024 · 2024
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Large language models are latent variable models: Explaining and finding good demonstrations for in-context learning
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, and William Yang Wang. 2024 · 2024
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Domain re-modulation for few-shot generative domain adaptation
Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, and Dacheng Tao. 2024 · 2024
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Misconfidence-based demonstration selection for llm in-context learning
Shangqing Xu and Chao Zhang. 2024 · 2024
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In-context learning with retrieved demonstrations for language models: A survey
Xin Xu, Yue Liu, Panupong Pasupat, Mehran Kazemi, et al. 2024 · 2024
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Keyang Xuan, Li Yi, Fan Yang, Ruochen Wu, Yi R Fung, and Heng Ji. 2024 · 2024
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Evidence-driven retrieval augmented response generation for online misinformation
Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, and Dong Wang. 2024 · 2024
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