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In today's digital environment, the rapid propagation of fake news via social networks poses significant social challenges.
The Ultimate Lincoln-Douglas Debate Handbook
Marko Djuranovic. 2003 · 2008
Earlier work this paper cites.
Twitter mood predicts the stock market
Johan Bollen, Huina Mao, and Xiaojun Zeng. 2011 · 2011
Earlier work this paper cites.
Debate and critical analysis: The harmony of conflict
Robert James Branham. 2013 · 2013
Earlier work this paper cites.
Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy. In Proceedings of the 22nd international conference on World Wide Web . 729–736
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, and Anupam Joshi. 2013 · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Rumors, false flags, and digital vigilantes: Misinformation on twitter after the 2013 boston marathon bombing
Kate Starbird, Jim Maddock, Mania Orand, Peg Achterman, and Robert M Mason. 2014 · 2014
Earlier work this paper cites.
A Convolutional Approach for Misinformation Identification.. In IJCAI . 3901–3907
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan, et al · 2017
Earlier work this paper cites.
Neural User Response Generator: Fake News Detection with Collective User Intelligence.. In IJCAI , Vol. 18. 3834–3840
Feng Qian, Chengyue Gong, Karishma Sharma, and Yan Liu. 2018 · 2018
Earlier work this paper cites.
Graph Attention Networks. In International Conference on Learning Representations
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
Earlier work this paper cites.
Eann: Event adversarial neural networks for multi-modal fake news detection. In Proceedings of the 24th acm sigkdd international conference on knowledge discovery & data mining . 849–857
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, and Jing Gao. 2018 · 2018
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Fake news on Twitter during the 2016 US presidential election
Nir Grinberg, Kenneth Joseph, Lisa Friedland, Briony Swire-Thompson, and David Lazer. 2019 · 2019
Earlier work this paper cites.
Utilizing python for agent-based modeling: The mesa framework. In Social, Cultural, and Behavioral Modeling: 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18–21, 2020, Proceedings 13 . Springer, 308–317
Jackie Kazil, David Masad, and Andrew Crooks. 2020 · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
How does truth evolve into fake news? an empirical study of fake news evolution. In Companion Proceedings of the Web Conference 2021 . 407–411
Mingfei Guo, Xiuying Chen, Juntao Li, Dongyan Zhao, and Rui Yan. 2021 · 2021
Earlier work this paper cites.
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
Rohit Kumar Kaliyar, Anurag Goswami, and Pratik Narang. 2021 · 2021
Earlier work this paper cites.
MDFEND: Multi-domain fake news detection. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management . 3343–3347
Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, and Jintao Li. 2021 · 2021
Earlier work this paper cites.
Mining dual emotion for fake news detection. In Proceedings of the web conference 2021 . 3465–3476
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu. 2021 · 2021
Earlier work this paper cites.
Towards fine-grained reasoning for fake news detection. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 5746–5754
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, and Xing Xie. 2022 · 2022
Earlier work this paper cites.
Domain adaptive fake news detection via reinforcement learning. In Proceedings of the ACM Web Conference 2022 . 3632–3640
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V Mancenido, and Huan Liu. 2022 · 2022
Cited alongside, same era.
Social simulacra: Creating populated prototypes for social computing systems. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology . 1–18
Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2022 · 2022
Cited alongside, same era.
The vast majority of content we take action on for misinformation is identified proactively
Yoel Roth. 2022 · 2022
Cited alongside, same era.
MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection. IJCAI
Jiaqi Zheng, Xi Zhang, Sanchuan Guo, Quan Wang, Wenyu Zang, and Yongdong Zhang. 2022 · 2022
Cited alongside, same era.
Generalizing to the future: Mitigating entity bias in fake news detection. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2120–2125
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023
Later among the works it cites.
Small models are valuable plug-ins for large language models
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, and Julian McAuley. 2023 · 2023
Later among the works it cites.
Unleashing the power of large models: Exploring human-machine conversations. In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 2: Frontier Forum) . 16–29
Liu Yuhan, Chen Xiuying, and Yan Rui. 2023 · 2023
Later among the works it cites.
FairLISA: fair user modeling with limited sensitive attributes information. In Proceedings of the 37th International Conference on Neural Information Processing Systems . 41432–41450
Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, and Enhong Chen. 2023 · 2023
Later among the works it cites.
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Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, and Fuzhen Zhuang. 2022 · 2022
Cited alongside, same era.
Reconcile: Round-table conference improves reasoning via consensus among diverse llms
Justin Chih-Yao Chen, Swarnadeep Saha, and Mohit Bansal. 2023c · 2023
Cited alongside, same era.
A Topic-aware Summarization Framework with Different Modal Side Information
Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, and Xiangliang Zhang. 2023a · 2023
Cited alongside, same era.
Improving the Robustness of Summarization Systems with Dual Augmentation
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, and Xiangliang Zhang. 2023b · 2023
Cited alongside, same era.
Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. 2023 · 2023
Cited alongside, same era.
Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023
Cited alongside, same era.
Learn over past, evolve for future: Forecasting temporal trends for fake news detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, and Zhiwei Jin. 2023 · 2023
Cited alongside, same era.
Lyfe Agents: Generative agents for low-cost real-time social interactions
Zhao Kaiya, Michelangelo Naim, Jovana Kondic, Manuel Cortes, Jiaxin Ge, Shuying Luo, Guangyu Robert Yang, and Andrew Ahn. 2023 · 2023
Cited alongside, same era.
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. In The Twelfth International Conference on Learning Representations
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2024 · 2024
Later among the works it cites.
Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
Later among the works it cites.
Bad actor, good advisor: Exploring the role of large language models in fake news detection. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 22105–22113
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi. 2024 · 2024
Later among the works it cites.
Debating with More Persuasive LLMs Leads to More Truthful Answers. In Forty-first International Conference on Machine Learning
Akbir Khan, John Hughes, Dan Valentine, Laura Ruis, Kshitij Sachan, Ansh Radhakrishnan, Edward Grefenstette, Samuel R Bowman, Tim Rocktäschel, and Ethan Perez. 2024 · 2024
Later among the works it cites.
Large Language Model Agent for Fake News Detection
Xinyi Li, Yongfeng Zhang, and Edward C Malthouse. 2024 · 2024
Later among the works it cites.
From a tiny slip to a giant leap: An llm-based simulation for fake news evolution
Yuhan Liu, Zirui Song, Xiaoqing Zhang, Xiuying Chen, and Rui Yan. 2024b · 2024
Later among the works it cites.
Mmac-copilot: Multi-modal agent collaboration operating system copilot
Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, and Yuan Huang. 2024 · 2024
Later among the works it cites.
Foundations and recent trends in multimodal mobile agents: A survey
Biao Wu, Yanda Li, Meng Fang, Zirui Song, Zhiwei Zhang, Yunchao Wei, and Ling Chen. 2024 · 2024
Later among the works it cites.
An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, et al · 2024
Later among the works it cites.
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. In ICLR 2024 Workshop on Large Language Model (LLM) Agents
Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, and Shumin Deng. 2024e · 2024
Later among the works it cites.
A large-scale time-aware agents simulation for influencer selection in digital advertising campaigns
Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, and Rui Yan. 2024a · 2024
Later among the works it cites.
SAGraph: A Large-scale Text-Rich Social Graph Dataset for Advertising Campaigns
Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, and Rui Yan. 2024b · 2024
Later among the works it cites.
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
Xiaoqing Zhang, Yuhan Liu, Flood Sung, Xiuying Chen, and Rui Yan. 2024d · 2024
Later among the works it cites.
Enhancing fairness in meta-learned user modeling via adaptive sampling. In Proceedings of the ACM Web Conference 2024 . 3241–3252
Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, and Qingyang Mao. 2024c · 2024
Later among the works it cites.
Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains
Juntian Zhang, Chuanqi Cheng, Yuhan Liu, Wei Liu, Jian Luan, and Rui Yan. 2025 · 2025
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