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In the age of large language models (LLMs) and the widespread adoption of AI-driven content creation, the landscape of information dissemination has witnessed a paradigm shift.
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
Earlier work this paper cites.
DeBERTa: decoding-enhanced BERT with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2006
Earlier work this paper cites.
The rise of fact-checking sites in Europe
Lucas Graves and Federica Cherubini. 2016 · 2016
Earlier work this paper cites.
Novel visual and statistical image features for microblogs news verification
Zhiwei Jin, Juan Cao, Yongdong Zhang, Jianshe Zhou, and Qi Tian. 2016 · 2016
Earlier work this paper cites.
Hoaxy: A platform for tracking online misinformation
Chengcheng Shao, Giovanni Luca Ciampaglia, Alessandro Flammini, and Filippo Menczer. 2016 · 2016
Earlier work this paper cites.
This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news
Benjamin Horne and Sibel Adali. 2017 · 2017
Earlier work this paper cites.
Truth of varying shades: Analyzing language in fake news and political fact-checking
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi. 2017 · 2017
Earlier work this paper cites.
Predicting factuality of reporting and bias of news media sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James Glass, and Preslav Nakov. 2018 · 2018
Earlier work this paper cites.
Leveraging the crowd to detect and reduce the spread of fake news and misinformation
Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, and Manuel Gomez-Rodriguez. 2018 · 2018
Earlier work this paper cites.
Automatic detection of fake news
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea. 2018 · 2018
Earlier work this paper cites.
The spread of true and false news online
Soroush Vosoughi, Deb Roy, and Sinan Aral. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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MVAE: Multimodal variational autoencoder for fake news detection
Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, and Vasudeva Varma. 2019 · 2019
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False news on social media: A data-driven survey
Francesco Pierri and Stefano Ceri. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Earlier work this paper cites.
What was written vs. who read it: News media profiling using text analysis and social media context
Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James Glass, and Preslav Nakov. 2020 · 2020
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2020
Earlier work this paper cites.
ELECTRA: pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020
Cited alongside, same era.
Automatic detection of machine generated text: A critical survey
Ganesh Jawahar, Muhammad Abdul-Mageed, and Laks Lakshmanan, V.S. 2020 · 2020
Cited alongside, same era.
ALBERT: A lite BERT for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
Cited alongside, same era.
A survey on computational propaganda detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, and Preslav Nakov. 2020 · 2020
Cited alongside, same era.
A survey on natural language processing for fake news detection
Ray Oshikawa, Jing Qian, and William Yang Wang. 2020 · 2020
Cited alongside, same era.
Performative prediction
Threat scenarios and best practices to detect neural fake news
Artidoro Pagnoni, Martin Graciarena, and Yulia Tsvetkov. 2022 · 2022
Later among the works it cites.
Rhetorical structure approach for online deception detection: A survey
Francielle Vargas, D‘Alessandro Jonas, Zohar Rabinovich, Fabrício Benevenuto, and Thiago Pardo. 2022 · 2022
Later among the works it cites.
Factuality challenges in the era of large language models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, and Giovanni Zagni. 2023 · 2023
Closest in time.
Josh A Goldstein, Girish Sastry, Micah Musser, Renee DiResta, Matthew Gentzel, and Katerina Sedova. 2023 · 2023
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Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, and Moritz Hardt. 2020 · 2020
Cited alongside, same era.
The limitations of stylometry for detecting machine-generated fake news
Tal Schuster, Roei Schuster, Darsh J. Shah, and Regina Barzilay. 2020 · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Fake news early detection: a theory-driven model
Xinyi Zhou, Atishay Jain, Vir Phoha, and Reza Zafarani. 2020 · 2020
Cited alongside, same era.
Fighting the COVID-19 infodemic: Modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society
Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, and Preslav Nakov. 2021 · 2021
Cited alongside, same era.
On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al. 2021 · 2021
Cited alongside, same era.
Truth, lies, and automation
Ben Buchanan, Andrew Lohn, Micah Musser, and Katerina Sedova. 2021 · 2021
Cited alongside, same era.
Hans WA Hanley and Zakir Durumeric. 2023 · 2023
Closest in time.
Mgtbench: Benchmarking machine-generated text detection
Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang. 2023 · 2023
Closest in time.
Faking fake news for real fake news detection: Propaganda-loaded training data generation
Kung-Hsiang Huang, Kathleen McKeown, Preslav Nakov, Yejin Choi, and Heng Ji. 2023 · 2023
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DetectGPT: zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, and Chelsea Finn. 2023 · 2023
Closest in time.
On the risk of misinformation pollution with large language models
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, and William Wang. 2023 · 2023
Closest in time.
Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown
Felix M Simon, Sacha Altay, and Hugo Mercier. 2023 · 2023
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AI model GPT-3 (dis)informs us better than humans
Giovanni Spitale, Nikola Biller-Andorno, and Federico Germani. 2023 · 2023
Closest in time.
DetectLLM: Leveraging log rank information for zero-shot detection of machine-generated text
Jinyan Su, Terry Zhuo, Di Wang, and Preslav Nakov. 2023a · 2023
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Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions
Jiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G Parker, and Munmun De Choudhury. 2023 · 2023
Closest in time.
PaLM: scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2024 · 2024
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SemEval-2024 task 8: Multigenerator, multidomain, and multilingual black-box machine-generated text detection
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, and Preslav Nakov. 2024b · 2024
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Factuality of large language models in the year 2024
Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Georgiev, Rocktim Jyoti Das, and Preslav Nakov. 2024d · 2024
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The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016
Chris J Vargo, Lei Guo, and Michelle A Amazeen. 2018 · 2049
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