Effect of text augmentation and adversarial training on fake news detection
Effect of text augmentation and adversarial training on fake news detection
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DOI | Resolve DOI: https://doi.org/10.1109/TCSS.2023.3344597 |
Author | Search for: ORCID identifier: https://orcid.org/0000-0001-9568-1563; Search for: ORCID identifier: https://orcid.org/0000-0003-2987-8047; Search for: ORCID identifier: https://orcid.org/0000-0002-5506-5261; Search for: 1ORCID identifier: https://orcid.org/0000-0002-4045-8687 |
Affiliation |
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Format | Text, Article |
Subject | meaning representation (AMR); adversarial training; clonal selection algorithm; cyberattack; fake news; graph representation; text generation; data models; training; machine learning; training data; data augmentation; social networking (online) |
Abstract | |
Publication date | 2024-01-12 |
Publisher | Institute of Electrical and Electronics Engineers |
In | |
Language | English |
In press | Yes |
Peer reviewed | Yes |
Export citation | Export as RIS |
Report a correction | Report a correction (opens in a new tab) |
Record identifier | 34458b13-f5d9-4c67-8549-781b36951a8d |
Record created | 2024-04-03 |
Record modified | 2024-05-16 |
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