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Detecting Misinformation with Transfer Learning by p20190018 is a document available to read on EtoBox.
What is Detecting Misinformation with Transfer Learning about?
This research paper explores the use of transfer learning and deep learning techniques to detect misinformation on social media, specifically on Reddit. The proposed model utilizes natural language processing and transformer-generated embeddings to classify posts as true or fake, achieving high accuracy on benchmark datasets. The study highlights the harmful effects of misinformation and the importance of effective detection methods to mitigate its spread.
- Author
- p20190018
- Language
- EN