The media have always played an important role in society: it acts as catalyst of information for most people. With the advent of the 24-hour news channels, people became accustomed to having access to the information the media outlets provide anytime, anywhere. In this paper, we analyse the social network of politicians in the United States from the point of view of two newspapers believed to have different political views: conservative and liberal. The idea is to reveal the relationships between US Congress members and Senators according to social network extracted from the newspapers. The newspapers we have chosen are from the same state (New York) to minimize differences in the network due to location. We selected the New York Times (NYT) which is believed to a liberal newspaper and the New York Post (NYP) which is believed to be a conservative newspaper. Our results indicate a significant difference between the social networks formed which means that the public is exposed to a different view of the US politicians depending the media they choose ro read. The social network also confirms that the NYT focuses more on people from the Democratic party while the NYP focuses on Republicans. We believe this is the first kind of work that uses Network Science to establish bias in news media.