Deepfake tweets classification using stacked Bi-LSTM and words embedding
The spread of altered media in the form of fake videos, audios, and images, has been largely increased over the past few years. Advanced digital manipulation tools and techniques make it easier to generate fake content and post it on social media. In addition, tweets with deep fake content make thei...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021-10-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-745.pdf |