  In this preliminary study, we used the Global Database of Events, Language,
and Tone (GDELT) database to examine xenophobic events reported in the media
during 2022. We collected a dataset of 2,778 unique events and created a
choropleth map illustrating the frequency of events scaled by the refugee
population's proportion in each host country. We identified the top 10
countries with the highest scaled event frequencies among those with more than
50,000 refugees. Contrary to the belief that hosting a significant number of
forced migrants results in higher xenophobic incidents, our findings indicate a
potential connection to political factors. We also categorized the 20 root
event codes in the CAMEO event data as either "Direct" or "Indirect". Almost
90% of the events related to refugees in 2022 were classified as "Indirect".
