  Nowadays, we are surrounded by more and more online news articles. Tens or
hundreds of news articles need to be read if we wish to explore a hot news
event or topic. So it is of vital importance to automatically synthesize a
batch of news articles related to the event or topic into a new synthesis
article (or overview article) for reader's convenience. It is so challenging to
make news synthesis fully automatic that there is no successful solution by
now. In this paper, we put forward a novel Interactive News Synthesis system
(i.e. INS), which can help generate news overview articles automatically or by
interacting with users. More importantly, INS can serve as a tool for editors
to help them finish their jobs. In our experiments, INS performs well on both
topic representation and synthesis article generation. A user study also
demonstrates the usefulness and users' satisfaction with the INS tool. A demo
video is available at \url{https://youtu.be/7ItteKW3GEk}.
