Migrants and refugees on Twitter in Spain: a study employing automated analysis into the presence of hate and sentiment
DOI:
https://doi.org/10.31921/doxacom.n38a1734Keywords:
Immigration, racism and xenophobia, hate speech, social networks, sentiment analysis, TwitterAbstract
Hate speech directed towards migrants and refugees poses one of the greatest challenges in communication on social networks. By means of an automated analysis of 124,337 messages about migration collected on Twitter in Spain between 2015 and 2020, the presence of hate and the underlying sentiment in the discourse are analysed, as is their development and the possible differences between Spanish regions. It has been observed that, although greater attention was paid to migration in 2015 and 2016, the core years of the Mediterranean refugee crisis, the greatest volume of hate was detected in 2019 and 2020, following the rise of Vox and its anti-immigration rhetoric. In general, the sentiment in these messages was negative, although the difference is slight between those expressing hate and those which do not. Finally, differences have been observed between Spanish regions, with Asturias having the greatest presence of hate and Cantabria showing the most negative sentiment; such differences, however, are not great and no clear patterns have been detected to explain them.
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