DeepTweetScan: A Hybrid Approach for Detecting Synthetic Tweets via CNN and FastText
DOI:
https://doi.org/10.48047/vvsd7f47Keywords:
Fake Tweet Detection, Deep Learning, CNN, FastText, Hybrid Model, Bot Classification, Misinformation, NLP, Social Media ForensicsAbstract
The pervasive influence of social media has facilitated both the rapid distribution of information and the emergence of malicious digital content. A significant challenge is the generation of deepfake tweets—synthetic posts designed to imitate human-authored content—often propagated by automated bots. These deceptive tweets can shape public opinion and trigger widespread misinformation.
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