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Faultiness Decision Making for False Information in Online: A Systematic Approach
2021
Journal of Soft Computing Paradigm
An identifying the news are real or fake instantly with high accuracy is a challenging work. The deep learning algorithm is implementing here to acquire very accurate separation of real and fake news rather than other methods. This research work constructs naïve bayes and CNN classifiers with Q-learning decision making. The two different approaches detect fake news in online and it gives to decision making section which is designed at tail in our research. The deep decision making section
doi:10.36548/jscp.2020.4.004
fatcat:uxe3xlhvi5hgbpue6yutmxzpzq