The main objective was to detect fake news on social media using the features extracted from textual dataset collected from Kaggle and used to train various machine learning, deep learning, bert-based and tranformer models. Various explainability techniques such as LIME and SHAP were used to explain the deep learning models. The research paper for the machine learning implementation can be found at https://dl.acm.org/doi/10.1145/3549206.3549256
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Lusanji/Fake-News-Detection
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Fake news detection using various machine learning and deep learning classifiers. In addition, various XAI techniques will be used to explain the models performance.
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