Analyzing news articles from the side of discussion threads

News articles are currently the source of vast potential of various kinds of information. News articles contain potential preferences or profile information of their readers. In this paper we offer analysis of news articles based on number of discussion posts count. At this time, two main sources of news articles were selected. We offer an overview of most discussed topics. Also, we have identified several conjunctions between the same topics for different sources. Although, currently missing more advanced methodology, our results are rather interesting. We focus on discussions, readability keywords and various categories. Results are still being calculated.