How Machine Learning Helps Spot Deepfakes and Online Misinformation
Artificial intelligence (AI) is increasingly being used to combat the spread of fake news and deepfakes by leveraging advanced algorithms and machine learning techniques. Here’s how AI is addressing these challenges: Detecting Fake News Linguistic Analysis AI algorithms analyze linguistic patterns, sentiment, and stylistic markers to identify disinformation. These systems detect emotionally charged language or deviations from journalistic norms, which are common in fake news articles. For example, AI models developed at NTNU achieved over 97% accuracy in classifying fake news by combining deep learning techniques and explainable AI for transparency. Automated Fact-Checking AI automates fact-checking by cross-referencing claims with credible databases and knowledge bases. This process flags inconsistencies or falsehoods in articles or posts. Social media platforms like Facebook use AI to evaluate headlines against article content and verify facts using partnerships with news organi...