Using semantic clustering to support situation awareness on Twitter: the case of world views

• Published in: Human-centric computing and information sciences Vol. 8; no. 1; pp. 1 - 31
• Main Authors: Kingston, Charlie, Nurse, Jason R. C., Agrafiotis, Ioannis, Milich, Andrew Burke
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 30.07.2018; Korea Information Processing Society, Computer Software Research Group
• Subjects: Artificial Intelligence; Clustering; Communications Engineering; Computer Science; Computer Systems Organization and Communication Networks; Data analysis; Decision making; Digital media; Information Systems and Communication Service; Information Systems Applications (incl.Internet); Networks; Semantics; Situational awareness; Social networks; User Interfaces and Human Computer Interaction; Social media analytics; Crisis response; Data clustering; User-support tools; Computational social science; Fake news; Information systems

In recent years, situation awareness has been recognised as a critical part of effective decision making, in particular for crisis management. One way to extract value and allow for better situation awareness is to develop a system capable of analysing a dataset of multiple posts, and clustering con...