Now There Is An AI Model That Fights Against AI-Generated Fake News

Grover's architecture is based on OpenAI's GPT-2, a powerful pre-training model. The training has been performed on randomly-sampled sequences from RealNews dataset and the Newspaper Python library has been used to extract the body and metadata from each article. The dataset used for building this model is called as RealNews which is a fairly large corpus of news articles from Common Crawl. For training the model, the researchers construct a large corpus of news articles with metadata from Common Crawl which includes 5,000 news domains indexed by Google News. News from Common Crawl from December 2016 through March 2019 were used as training data and the news articles published in April 2019 from the April 2019 were used as test data.