학술논문

Exploring Xenophobic Events through GDELT Data Analysis
Document Type
Working Paper
Source
Subject
Computer Science - Computers and Society
Language
Abstract
This study explores xenophobic events related to refugees and migration using the GDELT 2.0 database and APIs through visualizations. We conducted two case studies -- the first being an analysis of refugee-related news following the death of a two-year-old Syrian boy, Alan Kurdi, and the second a surge in news articles in March 2021 based on the data obtained from GDELT API. In addition to the two case studies, we present a discussion of our exploratory data analysis steps and the challenges encountered while working with GDELT data and its tools.
Comment: 12 pages, 8 figures, MSVSCC '23 ODU-VMASC