News event summarization complemented by micropoints In this paper, we propose a framework to produce comprehensive summarization of news event complemented by microblog. Given a basic summary extracted from traditional news articles, we extract micropoints from microblog to complement it. A micropoint is a micro-viewpoint composed of a few sentences from several relevant microblog tweets. We first filter microblog tweets and get candidate ones according to a combination of the degree of relevance and complementarity. Then we extract micropoints through tweet clustering, scattering and micropoint rebuilding. The last step – micropoint selection is based on three criteria, which guarantee high informativeness, popularity and conciseness. Experiments conducted on real data demonstrate a good coverage and content coherence.