In this talk we present some of our research on employing news and social media streams as complementary means to tell and understand a news story. In particular, we focus on the techniques, tools and datasets we developed for real-time social tag annotations of news, and how we employed Twitter hashtags as a novel type of metadata to facilitate news indexing, search, story tracking and summarization. We discuss the importance of developing more e↵ective ways of condensing information for human consumption, in particular through methods that automatically generate structured summaries of news stories. We also present some benchmarks and evaluation studies for structured summarization of news and point out remaining challenges and gaps in the evaluation of structured summaries. Most of our tools and datasets are available online from https://github.com/mlgig. This work was funded by Science Foundation Ireland (SFI) under grant number 12/RC/2289 and 12/RC/2289 P2, as well as the Irish Research Council (IRC) under grant number EBPPG/2018/237.
Acknowledgements