PANACEA: An Automated Misinformation Detection System on COVID-19

Runcong Zhao; Miguel Arana-catania; Lixing Zhu; Elena Kochkina; Lin Gui; Arkaitz Zubiaga; Rob Procter; Maria Liakata; Yulan He

PANACEA: An Automated Misinformation Detection System on COVID-19

Runcong Zhao, Miguel Arana-catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He

Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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Abstract

In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available.

Original language	English
Title of host publication	Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Publisher	Association for Computational Linguistics (ACL)
Pages	67–74
Publication status	Published - May 2023

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Zhao, R., Arana-catania, M., Zhu, L., Kochkina, E., Gui, L., Zubiaga, A., Procter, R., Liakata, M., & He, Y. (2023). PANACEA: An Automated Misinformation Detection System on COVID-19. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp. 67–74). Association for Computational Linguistics (ACL). https://aclanthology.org/2023.eacl-demo.9/

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title = "PANACEA: An Automated Misinformation Detection System on COVID-19",

abstract = "In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available.",

author = "Runcong Zhao and Miguel Arana-catania and Lixing Zhu and Elena Kochkina and Lin Gui and Arkaitz Zubiaga and Rob Procter and Maria Liakata and Yulan He",

year = "2023",

month = may,

language = "English",

pages = "67–74",

booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",

publisher = "Association for Computational Linguistics (ACL)",

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Zhao, R, Arana-catania, M, Zhu, L, Kochkina, E, Gui, L, Zubiaga, A, Procter, R, Liakata, M & He, Y 2023, PANACEA: An Automated Misinformation Detection System on COVID-19. in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics (ACL), pp. 67–74. <https://aclanthology.org/2023.eacl-demo.9/>

PANACEA: An Automated Misinformation Detection System on COVID-19. / Zhao, Runcong; Arana-catania, Miguel; Zhu, Lixing et al.

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics (ACL), 2023. p. 67–74.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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T1 - PANACEA: An Automated Misinformation Detection System on COVID-19

AU - Zhao, Runcong

AU - Arana-catania, Miguel

AU - Zhu, Lixing

AU - Kochkina, Elena

AU - Gui, Lin

AU - Zubiaga, Arkaitz

AU - Procter, Rob

AU - Liakata, Maria

AU - He, Yulan

PY - 2023/5

Y1 - 2023/5

N2 - In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available.

AB - In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection. Our fact-checking module, which is supported by novel natural language inference methods with a self-attention network, outperforms state-of-the-art approaches. It is also able to give automated veracity assessment and ranked supporting evidence with the stance towards the claim to be checked. In addition, PANACEA adapts the bi-directional graph convolutional networks model, which is able to detect rumours based on comment networks of related tweets, instead of relying on the knowledge base. This rumour detection module assists by warning the users in the early stages when a knowledge base may not be available.

M3 - Conference paper

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EP - 74

BT - Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations

PB - Association for Computational Linguistics (ACL)

ER -

PANACEA: An Automated Misinformation Detection System on COVID-19

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