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The Impact of?Pre-processing on?the?Performance of?Automated Fake News Detectionand BERT pre-trained model. In addition to URLs, we analyzed the impact of different approaches for dealing with emojis and Twitter handles on the performance of the models. Our results show URLs could be good clues for identifying fake news, despite the fact that they are usually removed in pre-pro

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An Analysis of?Logic Rule Dissemination in?Sentiment Classifiers the predictions of any classifier in an interpretable and faithful manner. Our experiments show that (a) accuracy is misleading in assessing these methods, (b) not all these methods are effectively capturing the . structure, (c) often, the underlying sequence model is what captures the syntactic st

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