This project tests whether public proclamations of doubt in the independence of media (e.g. labeling news outlets as “fake news” by Donald Trump) impact subjective trust in news- and scientific articles on climate change. In another part of this project I analyse online news texts opposing or supporting the concept of man-made climate change by means of quantitative text analysis. More precisely, I use lexicometrics, i.e. frequency analysis, key term extraction, co-occurences, as well as machine learning tools to predict the skepticism towards climate change with text characteristics. Additionally, I test whether pro- or contra climate change texts differ with respect to the sentiment embodied in the words they use.