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. 2024 Mar 13;15:1280366. doi: 10.3389/fpsyg.2024.1280366

Table 3.

Some of the main concerns generated through a topic modeling approach on the posts mentioning immigrants.

Theme Word clouds
Self-reference 15.1% graphic file with name fpsyg-15-1280366-i001.jpg graphic file with name fpsyg-15-1280366-i002.jpg graphic file with name fpsyg-15-1280366-i003.jpg
Government
12.7%
graphic file with name fpsyg-15-1280366-i004.jpg graphic file with name fpsyg-15-1280366-i005.jpg graphic file with name fpsyg-15-1280366-i006.jpg
Jobs
11.6%
graphic file with name fpsyg-15-1280366-i007.jpg graphic file with name fpsyg-15-1280366-i008.jpg graphic file with name fpsyg-15-1280366-i009.jpg
Economy
4.5%
graphic file with name fpsyg-15-1280366-i010.jpg graphic file with name fpsyg-15-1280366-i011.jpg graphic file with name fpsyg-15-1280366-i012.jpg
Crime and law
6.9%
graphic file with name fpsyg-15-1280366-i013.jpg graphic file with name fpsyg-15-1280366-i014.jpg graphic file with name fpsyg-15-1280366-i015.jpg
Security
2.3%
graphic file with name fpsyg-15-1280366-i016.jpg
Habits and culture
4.02%
graphic file with name fpsyg-15-1280366-i017.jpg graphic file with name fpsyg-15-1280366-i018.jpg

Latent Dirichlet allocation was used to generate 50 topics mentioning immigrants in social media posts. α = 5 favored more topics per post.