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We introduce KOSMOS, a knowledge retrieval system based on the constructedknowledge graph of social media and mainstream media documents. The systemfirst identifies key events from the documents at each time frame throughclustering, extracting a document to represent each cluster, then describingthe document in terms of 5W1H (Who, What, When, Where, Why, How). The eventcentric knowledge graph is enhanced by relation triplets and entitydisambiguation from the representative document. This knowledge retrieval issupported by a web interface that presents a graph visualisation of relatednodes and relevant articles based on a user query. The interface facilitatesunderstanding relationships between events reported in mainstream and socialmedia journalism through the KOSMOS information extraction pipeline, which isvaluable to understand media slant and public opinions. Finally, we explore ause case in extracting events and relations from documents to understand themedia and community's view to the 2020 COVID19 pandemic.

KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System