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Vader: A parsimonious rule-based model for sentiment analysis of social media text
C. Hutto and E. Gilbert · 2014
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Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Aspect-based sentiment analysis using bert
M. Hoang, O. A. Bihorac, and J. Rouces · 2019
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Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
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Public emotions and rumors spread during the covid-19 epidemic in china: web-based correlation study
W. Dong, J. Tao, X. Xia, L. Ye, H. Xu, P. Jiang, and Y. Liu · 2020
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Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters
J. Rasley, S. Rajbhandari, O. Ruwase, and Y. He · 2020
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On sentiment of online fake news
R. N. Zaeem, C. Li, and K. S. Barber · 2020
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Covid-19 conspiracy theories
K. M. Douglas · 2021
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Loco: The 88-million-word language of conspiracy corpus
A. Miani, T. Hills, and A. Bangerter · 2021
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Detecting covid-19-related conspiracy theories in tweets
Y. Peskine, G. Alfarano, I. Harrando, P. Papotti, and R. Troncy · 2021
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Fakenews: Corona virus and conspiracies multimedia analysis task at mediaeval 2021
K. Pogorelov, D. T. Schroeder, S. Brenner, and J. Langguth · 2021
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Classifying covid-19 conspiracy tweets with word embedding and bert
Y. Yanagi, R. Orihara, Y. Tahara, Y. Sei, and A. Ohsuga · 2021
Cited alongside, same era.
Mining dual emotion for fake news detection
X. Zhang, J. Cao, X. Li, Q. Sheng, L. Zhong, and K. Shu · 2021
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How “loco” is the loco corpus? annotating the language of conspiracy theories
L. Mompelat, Z. Tian, A. Kessler, M. Luettgen, A. Rajanala, S. Kübler, and M. Seelig · 2022
Cited alongside, same era.
Roberta-lstm: a hybrid model for sentiment analysis with transformer and recurrent neural network
K. L. Tan, C. P. Lee, K. S. M. Anbananthen, and K. M. Lim · 2022
Cited alongside, same era.
Bloom: A 176b-parameter open-access multilingual language model
B. Workshop, T. L. Scao, A. Fan, C. Akiki, E. Pavlick, S. Ilić, D. Hesslow, R. Castagné, A. S. Luccioni, F. Yvon, et al · 2022
Cited alongside, same era.
Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter
M. Müller, M. Salathé, and P. E. Kummervold · 2023
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What is a conspiracy theory?
M. G. Napolitano and K. Reuter · 2023
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Analysis of disinformation and fake news detection using fine-tuned large language model
B. M. Pavlyshenko · 2023
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G. Penedo, Q. Malartic, D. Hesslow, R. Cojocaru, A. Cappelli, H. Alobeidli, B. Pannier, E. Almazrouei, and J. Launay · 2023
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Definitions matter: Guiding gpt for multi-label classification
Y. Peskine, D. Korenčić, I. Grubisic, P. Papotti, R. Troncy, and P. Rosso · 2023
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S. Zhang, S. Roller, N. Goyal, M. Artetxe, M. Chen, S. Chen, C. Dewan, M. Diab, X. Li, X. V. Lin, et al · 2022
Cited alongside, same era.
Factllama: Optimizing instruction-following language models with external knowledge for automated fact-checking
T.-H. Cheung and K.-M. Lam · 2023
Cited alongside, same era.
Detection of conspiracy propagators using psycho-linguistic characteristics
A. Giachanou, B. Ghanem, and P. Rosso · 2023
Cited alongside, same era.
Bad actor, good advisor: Exploring the role of large language models in fake news detection
B. Hu, Q. Sheng, J. Cao, Y. Shi, Y. Li, D. Wang, and P. Qi · 2023
Cited alongside, same era.
Coco: an annotated twitter dataset of covid-19 conspiracy theories
J. Langguth, D. T. Schroeder, P. Filkuková, S. Brenner, J. Phillips, and K. Pogorelov · 2023
Cited alongside, same era.
S. Lei, G. Dong, X. Wang, K. Wang, and S. Wang · 2023
Cited alongside, same era.
An emotion-aware approach for fake news detection
F. Liu, X. Zhang, and Q. Liu · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi, Y. Babaei, N. Bashlykov, S. Batra, P. Bhargava, S. Bhosale, et al · 2023
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Pixiu: A large language model, instruction data and evaluation benchmark for finance
Q. Xie, W. Han, X. Zhang, Y. Lai, M. Peng, A. Lopez-Lira, and J. Huang · 2023
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Mentalllama: Interpretable mental health analysis on social media with large language models
K. Yang, T. Zhang, Z. Kuang, Q. Xie, and S. Ananiadou · 2023
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Back to the future: Towards explainable temporal reasoning with large language models
C. Yuan, Q. Xie, J. Huang, and S. Ananiadou · 2023
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Enhancing financial sentiment analysis via retrieval augmented large language models
B. Zhang, H. Yang, T. Zhou, M. Ali Babar, and X.-Y. Liu · 2023
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Building emotional support chatbots in the era of llms
Z. Zheng, L. Liao, Y. Deng, and L. Nie · 2023
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