MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations
and their Driving Factors
- URL: http://arxiv.org/abs/2108.07593v1
- Date: Tue, 17 Aug 2021 12:50:39 GMT
- Title: MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations
and their Driving Factors
- Authors: Yiyi Chen, Harald Sack, Mehwish Alam
- Abstract summary: This study is the analysis of social media platform to quantify public attitudes towards migrations.
The tweets spanning from 2013 to Jul-2021 in the European countries which are hosts to immigrants are collected.
The external databases are used to identify the potential social and economic factors causing negative attitudes of the people about migration.
- Score: 1.6973426830397942
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: With the increasing trend in the topic of migration in Europe, the public is
now more engaged in expressing their opinions through various platforms such as
Twitter. Understanding the online discourses is therefore essential to capture
the public opinion. The goal of this study is the analysis of social media
platform to quantify public attitudes towards migrations and the identification
of different factors causing these attitudes. The tweets spanning from 2013 to
Jul-2021 in the European countries which are hosts to immigrants are collected,
pre-processed, and filtered using advanced topic modeling technique. BERT-based
entity linking and sentiment analysis, and attention-based hate speech
detection are performed to annotate the curated tweets. Moreover, the external
databases are used to identify the potential social and economic factors
causing negative attitudes of the people about migration. To further promote
research in the interdisciplinary fields of social science and computer
science, the outcomes are integrated into a Knowledge Base (KB), i.e.,
MigrationsKB which significantly extends the existing models to take into
account the public attitudes towards migrations and the economic indicators.
This KB is made public using FAIR principles, which can be queried through
SPARQL endpoint. Data dumps are made available on Zenodo.
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