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Dataset . 2021
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MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors

Authors: Yiyi Chen;

MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors

Abstract

MigrationsKB(MGKB) is a public Knowledge Base of anonymized Migration related annotated tweets. The MGKB currently contains over 200 thousand tweets, spanning over 9 years (January 2013 to July 2021), filtered with 11 European countries of the United Kingdom, Germany, Spain, Poland, France, Sweden, Austria, Hungary, Switzerland, Netherlands and Italy. Metadata information about the tweets, such as Geo information (place name, coordinates, country code). MGKB contains entities, sentiments, hate speeches, topics, hashtags, encrypted user mentions in RDF format. The schema of MGKB is an extension of TweetsKB for migrations related information. Moreover, to associate and represent the potential economic and social factors driving the migration flows such as eurostat, statista, etc. FIBO ontology was used. The extracted economic indicators, such as GDP Growth Rate, are connected with each Tweet in RDF using geographical and temporal dimensions. The user IDs and the tweet texts are encrypted for privacy purposes, while the tweet IDs are preserved.

Keywords

Social Media Analysis, Migration, Sentiment Analysis, Hate Speech Detection, Knowledge Base

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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