D'agata, R.; Gozzo, S. (2020). #immigrants project: the on-line perception of integration. Editorial Universitat Politècnica de València. 321-331. https://doi.org/10.4995/CARMA2020.2020.11655
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/149001
Title:
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#immigrants project: the on-line perception of integration
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Author:
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D'Agata, Rosario
Gozzo, Simona
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Issued date:
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Abstract:
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[EN] This paper analyses the content of Twitter’s comments during the period
covering the last European elections. "#immigrants" is the extraction’s
keyword in different national languages. With the exception of English ...[+]
[EN] This paper analyses the content of Twitter’s comments during the period
covering the last European elections. "#immigrants" is the extraction’s
keyword in different national languages. With the exception of English and
French, whose extraction would be misleading, all of the other languages have
been chosen to catch the geographical area of reference. We made sure to
extract at least two sentences for each Welfare area. Once the data have been
extracted, three different strategies have been used. The first one, dealing with
both a qualitative and a quantitative assessment; the second one, analysing
automatically the content of the top 10 extracted tweets during the reference
period and the third one based on network analysis. Through a deep analysis
of the content, three clusters have been identified: the first one dealing with
the cultural risks of multiculturalism; the second one (social risks) dealing with
the fear of migrants stealing job vacancies and the third one dealing with
economic risks. A deep network analysis of Italian and Spanish contexts
follows. What emerges is that: communication is extremely heterogeneous; in
Italy there unique and duplicated edges prevails; in Spain there are more
groups than in Italy, more themes covered and different kind of users and nets.
[-]
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Subjects:
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Web data
,
Internet data
,
Big data
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Qca
,
Pls
,
Sem
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Conference
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Immigration
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Network analysis
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Twitter
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Copyrigths:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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ISBN:
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9788490488324
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DOI:
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10.4995/CARMA2020.2020.11655
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Publisher:
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Editorial Universitat Politècnica de València
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Publisher version:
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http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11655
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Conference name:
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CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
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Conference place:
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Valencia, Spain
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Conference date:
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Julio 08-09,2020
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Type:
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Capítulo de libro
Comunicación en congreso
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