A veracity dissemination consistency-based few-shot fake news detection framework by synergizing adversarial and contrastive self-supervised learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A veracity dissemination consistency-based few-shot fake news detection framework by synergizing adversarial and contrastive self-supervised learning ; volume:14 ; number:1 ; day:22 ; month:8 ; year:2024 ; pages:1-22 ; date:12.2024
Scientific reports ; 14, Heft 1 (22.8.2024), 1-22, 12.2024

Creator: Jin, Weiqiang
Wang, Ningwei
Tao, Tao
Shi, Bohang
Bi, Haixia
Zhao, Biao
Wu, Hao
Duan, Haibin
Yang, Guang

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-70039-9

URN: urn:nbn:de:101:1-2411111050174.540086786905

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:27 AM CEST

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Jin, Weiqiang
Wang, Ningwei
Tao, Tao
Shi, Bohang
Bi, Haixia
Zhao, Biao
Wu, Hao
Duan, Haibin
Yang, Guang
SpringerLink (Online service)

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A veracity dissemination consistency-based few-shot fake news detection framework by synergizing adversarial and contrastive self-supervised learning

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