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Maybe use OpenCV for image processing and NLTK for natural language processing, train the model using known "fake news" articles, and known "real news" articles, you could probably adjust the weights of the results and use something like an SVM, LSTM, Voting Regressor combination. However, I think Sentiment Analysis is more of what you are looking for and TFIDF could also help... in short, to answer your question there is a way however it will probably involve using several methods and models
https://en.wikipedia.org/wiki/Tf%E2%80%93idf
https://towardsdatascience.com/sentiment-analysis-concept-analysis-and-applications-6c94d6f58c17
Here is a good article, maybe something like this?
https://towardsdatascience.com/i-trained-fake-news-detection-ai-with-95-accuracy-and-almost-went-crazy-d10589aa57c