Deepfake tweets automatic detection
- URL: http://arxiv.org/abs/2406.16489v1
- Date: Mon, 24 Jun 2024 09:55:31 GMT
- Title: Deepfake tweets automatic detection
- Authors: Adam Frej, Adrian Kaminski, Piotr Marciniak, Szymon Szmajdzinski, Soveatin Kuntur, Anna Wroblewska,
- Abstract summary: This study uses advanced natural language processing (NLP) techniques to distinguish between genuine and AI-generated texts.
By developing reliable methods for detecting AI-generated misinformation, this work contributes to a more trustworthy online information environment.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This study addresses the critical challenge of detecting DeepFake tweets by leveraging advanced natural language processing (NLP) techniques to distinguish between genuine and AI-generated texts. Given the increasing prevalence of misinformation, our research utilizes the TweepFake dataset to train and evaluate various machine learning models. The objective is to identify effective strategies for recognizing DeepFake content, thereby enhancing the integrity of digital communications. By developing reliable methods for detecting AI-generated misinformation, this work contributes to a more trustworthy online information environment.
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