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Recent advancements in Large Language Models (LLMs) have significantly improved text generation capabilities.
Language models are few-shot learners
Tom B Brown. 2020 · 2005
Earlier work this paper cites.
Associations between exposure to and expression of negative opinions about human papillomavirus vaccines on social media: an observational study
Adam G Dunn, Julie Leask, Xujuan Zhou, Kenneth D Mandl, and Enrico Coiera. 2015 · 2015
Earlier work this paper cites.
Weaponized health communication: Twitter bots and russian trolls amplify the vaccine debate
David A Broniatowski, Amelia M Jamison, SiHua Qi, Lulwah AlKulaib, Tao Chen, Adrian Benton, Sandra C Quinn, and Mark Dredze. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin. 2018 · 2018
Earlier work this paper cites.
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.
The online competition between pro-and anti-vaccination views
Neil F Johnson, Nicolas Velásquez, Nicholas Johnson Restrepo, Rhys Leahy, Nicholas Gabriel, Sara El Oud, Minzhang Zheng, Pedro Manrique, Stefan Wuchty, and Yonatan Lupu. 2020 · 2020
Earlier work this paper cites.
Social media and vaccine hesitancy
Steven Lloyd Wilson and Charles Wiysonge. 2020 · 2020
Earlier work this paper cites.
Measuring the impact of covid-19 vaccine misinformation on vaccination intent in the uk and usa
Sahil Loomba, Alexandre De Figueiredo, Simon J Piatek, Kristen De Graaf, and Heidi J Larson. 2021 · 2021
Earlier work this paper cites.
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive gru
Usman Naseem, Matloob Khushi, Jinman Kim, and Adam Dunn. 2021 · 2021
Earlier work this paper cites.
Mistrust and beliefs in conspiracy theories differently mediate the effects of psychological factors on propensity for covid-19 vaccine
Luca Simione, Monia Vagni, Camilla Gnagnarella, Giuseppe Bersani, and Daniela Pajardi. 2021 · 2021
Earlier work this paper cites.
Vaccineu: Covid-19 vaccine conversations on twitter in french, german and italian
Marco Di Giovanni, Francesco Pierri, Christopher Torres-Lugo, and Marco Brambilla. 2022 · 2022
Earlier work this paper cites.
On the relationship between conspiracy theory beliefs, misinformation, and vaccine hesitancy
Adam M Enders, Joseph Uscinski, Casey Klofstad, and Justin Stoler. 2022 · 2022
Cited alongside, same era.
Anti-vax: a novel twitter dataset for covid-19 vaccine misinformation detection
Kadhim Hayawi, Sakib Shahriar, Mohamed Adel Serhani, Ikbal Taleb, and Sujith Samuel Mathew. 2022 · 2022
Cited alongside, same era.
Covid-19 misinformation on social media: a scoping review
Andrew M Joseph, Virginia Fernandez, Sophia Kritzman, Isabel Eaddy, Olivia M Cook, Sarah Lambros, Cesar E Jara Silva, Daryl Arguelles, Christy Abraham, Noelle Dorgham, et al. 2022 · 2022
Cited alongside, same era.
Misinformation of covid-19 vaccines and vaccine hesitancy
Sun Kyong Lee, Juhyung Sun, Seulki Jang, and Shane Connelly. 2022 · 2022
Cited alongside, same era.
Classifying covid-19 vaccine narratives
Yue Li, Carolina Scarton, Xingyi Song, and Kalina Bontcheva. 2022 · 2022
Cited alongside, same era.
Seqxgpt: Sentence-level ai-generated text detection
Pengyu Wang, Linyang Li, Ke Ren, Botian Jiang, Dong Zhang, and Xipeng Qiu. 2023 · 2023
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Anatomy of an ai-powered malicious social botnet
Kai-Cheng Yang and Filippo Menczer. 2023 · 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
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The covid-19 infodemic as a major driver for vaccine hesitancy in conflict settings: a mixed-method study
Asmaa Ahmed, Ahmed Asa’ad Al-Aghbari, Ola El-Hajj Hassan, Maureen McGowan, Yasameen Al-Qadasi, and Fekri Dureab. 2024 · 2024
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Mgtbench: Benchmarking machine-generated text detection
Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang. 2023 · 2023
Cited alongside, same era.
Detecting misinformation with llm-predicted credibility signals and weak supervision
João A Leite, Olesya Razuvayevskaya, Kalina Bontcheva, and Carolina Scarton. 2023 · 2023
Cited alongside, same era.
Check me if you can: Detecting chatgpt-generated academic writing using checkgpt
Zeyan Liu, Zijun Yao, Fengjun Li, and Bo Luo. 2023 · 2023
Cited alongside, same era.
Multitude: Large-scale multilingual machine-generated text detection benchmark
Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matúš Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, et al. 2023 · 2023
Cited alongside, same era.
Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, and Chang-Tien Lu. 2023 · 2023
Cited alongside, same era.
Can llm-generated misinformation be detected?
Canyu Chen and Kai Shu. 2023a
Cited in the paper.
Combating misinformation in the age of llms: Opportunities and challenges
Canyu Chen and Kai Shu. 2023b
Cited in the paper.
Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, and Eduard Hovy. 2024 · 2024
Later among the works it cites.
Multisocial: Multilingual benchmark of machine-generated text detection of social-media texts
Dominik Macko, Jakub Kopal, Robert Moro, and Ivan Srba. 2024 · 2024
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Vaccine misinformation detection in x using cooperative multimodal framework
Usman Naseem, Adam G Dunn, Matloob Khushi, and Jinman Kim. 2024 · 2024
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Explaining misinformation detection using large language models
Vishnu S Pendyala and Christopher E Hall. 2024 · 2024
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Navigating the web of disinformation and misinformation: Large language models as double-edged swords
Siddhant Bikram Shah, Surendrabikram Thapa, Ashish Acharya, Kritesh Rauniyar, Sweta Poudel, Sandesh Jain, Anum Masood, and Usman Naseem. 2024 · 2024
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Sharing is caring? how moral foundation frames drive the sharing of corrective messages and misinformation about covid-19 vaccines
Aimei Yang, Alvin Zhou, Jieun Shin, Ke Huang-Isherwood, Wenlin Liu, Chuqing Dong, Eugene Lee, and Jingyi Sun. 2024 · 2024
Later among the works it cites.