KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System
This system helps users understand relationships between events and media slant in journalism by processing social and mainstream media, which is an incremental improvement for media analysis.
KOSMOS is a knowledge retrieval system that constructs a knowledge graph from social and mainstream media documents by identifying key events through clustering, extracting 5W1H information, and enhancing it with relation triplets and entity disambiguation. It provides a web interface for graph visualization and article retrieval, which was used to analyze media and community views on the 2020 COVID-19 pandemic.
We introduce KOSMOS, a knowledge retrieval system based on the constructed knowledge graph of social media and mainstream media documents. The system first identifies key events from the documents at each time frame through clustering, extracting a document to represent each cluster, then describing the document in terms of 5W1H (Who, What, When, Where, Why, How). The event centric knowledge graph is enhanced by relation triplets and entity disambiguation from the representative document. This knowledge retrieval is supported by a web interface that presents a graph visualisation of related nodes and relevant articles based on a user query. The interface facilitates understanding relationships between events reported in mainstream and social media journalism through the KOSMOS information extraction pipeline, which is valuable to understand media slant and public opinions. Finally, we explore a use case in extracting events and relations from documents to understand the media and community's view to the 2020 COVID19 pandemic.