D5.4 Analysis of the role of contextual factors and dynamics of attitudes on social media, especially hate speech
Alam, Mehwish (FIZ-Karlsruhe)
Chen, Yiyi (FIZ-Karlsruhe)
Heidland, Tobias (Kiel Institute for the World Economy)
Krueger, Finja (Kiel Institute for the World Economy)

Fecha:	2022
Resumen:	Measuring attitudes towards migration is usually done with surveys, which are expensive to conduct and can thus be afforded infrequently. In this sense, social media have proved to be one of the most valuable sources for measuring public attitudes. This report focuses on analysing the social media platform Twitter to quantify and study public attitudes towards migration and to identify different factors that could be probable causes of these attitudes. To this end, we deploy advanced Artificial Intelligence (AI) methods based on knowledge bases and neural networks (detailed later on) for analysing these public attitudes on Twitter.
Ayudas:	European Commission 882986
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons en que s'entrega l'obra al domini públic. Podeu copiar, modificar, distribuir l'obra i fer-ne comunicació pública, fins i tot amb finalitat comercial, sense demanar cap mena de permís.
Lengua:	Anglès
Colección:	ITFLOWS Project
Documento:	Informe

66 p, 2.5 MB

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Documentos de investigación > Informes de proyectos