  Hebrew is a Morphological rich language, making its modeling harder than
simpler language. Recent developments such as Transformers in general and Bert
in particular opened a path for Hebrew models that reach SOTA results, not
falling short from other non-MRL languages. We explore the cutting edge in this
field performing style transfer, text generation and classification over news
articles collected from online archives. Furthermore, the news portals that
feed our collective consciousness are an interesting corpus to study, as their
analysis and tracing might reveal insights about our society and discourse.
