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Advancements in artificial intelligence can aid in the detection of fake news by analyzing linguistic nuances and contextual details. A recent study developed an AI algorithm that achieved 97% accuracy in classifying news articles as real or fake. Explainable AI is crucial in building trust and refining detection methods. The advantages of using AI include identifying linguistic patterns, automating fact-checking, and tracking suspicious patterns on social media. However, AI is not foolproof and risks perpetuating biases if trained on wrong datasets.
By Dr. Tony Hoang4.6
99 ratings
Advancements in artificial intelligence can aid in the detection of fake news by analyzing linguistic nuances and contextual details. A recent study developed an AI algorithm that achieved 97% accuracy in classifying news articles as real or fake. Explainable AI is crucial in building trust and refining detection methods. The advantages of using AI include identifying linguistic patterns, automating fact-checking, and tracking suspicious patterns on social media. However, AI is not foolproof and risks perpetuating biases if trained on wrong datasets.

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