Automated Detection of Machine-Generated Tweets Using Hybrid Deep CNN  and FastText Embeddings

Ch. Sreelatha, K. Pavani, L. Reshmi Bhavishya, K. Sri Thanay, V. Abhiram

Automated Detection of Machine-Generated Tweets Using Hybrid Deep CNN and FastText Embeddings

Authors

Ch. Sreelatha, K. Pavani, L. Reshmi Bhavishya, K. Sri Thanay, V. Abhiram

Keywords:

Social Media Bots, Hybrid Deep CNN, FastText Embeddings, NLP, Real-Time Content Monitoring, Automated Moderation

Abstract

Deepfake technology has emerged as a serious challenge to the authenticity of information shared onsocial media, particularly in domains such as politics and entertainment where fabricated videos and AIgenerated content frequently fuel misinformation. The goal of this research is to design a robust deep learning–based framework capable of detecting deceptive

References

Gurusai, V. V. N. V., and M. Ravi Kumar.(2025)."DEEP FAKE DETECTION ON SOCIAL MEDIA LEVERAGING DEEP LEARNING AND FAST TEXT EMBEDDINGS FOR IDENTIFYING MACHINE-GENERATED TWEETS." Journal of Data Acquisition and Processing.

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Published

2025-05-25

How to Cite

Ch. Sreelatha, K. Pavani, L. Reshmi Bhavishya, K. Sri Thanay, V. Abhiram. (2025). Automated Detection of Machine-Generated Tweets Using Hybrid Deep CNN and FastText Embeddings . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 367–378. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4616