The objective of this thesis is to analyze the common techniques of NLP like n-grams, named-entity recognition (NER), sentiment analysis, and topic modeling for the ex- amination of news media content. Furthermore, to fa- cilitate a comparative analysis of subtle media biases on Russo-Ukranian conflict reporting, this study will employ these techniques on a corpus of American and Russian news articles.