About this document

Deepfake Project Abstract Final by 215ラバアニ Abbu is a document available to read on EtoBox.

The project focuses on detecting machine-generated tweets on social media using deep learning techniques, specifically a Convolutional Neural Network (CNN) with FastText word embeddings. It aims to combat the manipulation of public opinion through deepfake content by classifying tweets as human or bot-generated, achieving a 93% accuracy rate. The study utilizes the Tweepfake dataset to demonstrate the effectiveness of the proposed system in identifying deepfake posts.

Author

215ラバアニ Abbu

Language

EN