Analyzing the EU Migration Crisis as Reflected on Twitter.

ABSTRACT: The proliferation of social media has resulted in its extensive use as a valuable source of information for researchers. This paper aims to use Twitter data to analyze and visualize tweets about the migration crisis in the European Union from 2016 to 2021. The paper uses a methodology to structure data for better understanding of complex social media data. The methods and metrics include the facet model of location based social media, the HyperLogLog data structure and novel uses of the metric typicality. The authors have also developed a web based interactive application closely following the methodology used to organize the dataset. Additionally the work also includes maps using spatial typicality which could be utilized for studying spatial phenomenon. The case study selected also provi

SUBMITTER: Mukherjee S 

PROVIDER: S-EPMC9469823 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature