Replication Data for: "Implicit Hierarchies in the EU Representation of Refugees: a comparative text-analysis of the European Parliament’s framing of Syrian and Ukrainian diasporas" (doi:10.7910/DVN/HN3UVR)

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Document Description
Citation
Title:	Replication Data for: "Implicit Hierarchies in the EU Representation of Refugees: a comparative text-analysis of the European Parliament’s framing of Syrian and Ukrainian diasporas"
Identification Number:	doi:10.7910/DVN/HN3UVR
Distributor:	Harvard Dataverse
Date of Distribution:	2024-09-24
Version:	1
Bibliographic Citation:	Giancaspro, Gaetano, 2024, "Replication Data for: "Implicit Hierarchies in the EU Representation of Refugees: a comparative text-analysis of the European Parliament’s framing of Syrian and Ukrainian diasporas"", https://doi.org/10.7910/DVN/HN3UVR, Harvard Dataverse, V1
Study Description
Citation
Title:	Replication Data for: "Implicit Hierarchies in the EU Representation of Refugees: a comparative text-analysis of the European Parliament’s framing of Syrian and Ukrainian diasporas"
Identification Number:	doi:10.7910/DVN/HN3UVR
Authoring Entity:	Giancaspro, Gaetano (Università di Bologna)
Distributor:	Harvard Dataverse
Access Authority:	Giancaspro, Gaetano
Depositor:	Giancaspro, Gaetano
Date of Deposit:	2024-07-02
Holdings Information:	https://doi.org/10.7910/DVN/HN3UVR
Study Scope
Keywords:	Social Sciences, Web Scraping, Word-Frequency Analysis, Bigram-Frequency Analysis, Term Frequency-Inverse Document Frequency test, Structural Topic Modelling, Critical Securitization Theory, European Parliament, Gender, Race, Refugees, Syria, Ukraine
Abstract:	The article explores the discursive representations of Syrian and Ukrainian refugees in the European Parliament (EP). The theoretical framework draws on Critical Securitisation Theory, pointing out the implicit hierarchies that affect the European Union (EU) reception policies in terms of race and gender. The main hypothesis is that a stigmatisation process based on race and gender affects the representation of refugees in the EU. Against this backdrop, the manuscript delves into how speech acts can either cast refugees as urgent threats or even facilitate the de-construction of the refugee as a threat. These are investigated through Computational Text-Analysis tools, such as Word- and Bigram-Frequency Analysis, Term Frequency-Inverse Document Frequency test and Structural Topic Modelling. On the one hand, contrary to expectations of a securitisation of Syrian refugees primarily based on race, what emerges is also a process of de-personalisation that helps justify the anti-migration stand of some members of the EP (MEPs). On the other hand, the assumption that deconstruction of the refugee as a threat would mainly occur through an emphasis on cultural proximity between Ukrainian people and the EU is challenged. Instead, our analysis shows a gender-based victimisation of Ukrainian refugees, which contributes leading to protective measures being enacted by the EU.
Notes:	The replication data consists of an R script related to an article that explores the discursive representations of Syrian and Ukrainian refugees in the European Parliament (EP). The script includes codes for scraping debates from the European-Parliament website and performing Word- and Bigram-Frequency Analysis, Term Frequency-Inverse Document Frequency test and Structural Topic Modelling.
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Citation
Title:	Giancaspro G, Lucenti F (2024). Implicit hierarchies in the EU representation of refugees: a comparative text-analysis of the European Parliament’s framing of Syrian and Ukrainian diasporas. Italian Political Science Review/Rivista Italiana di Scienza Politica 1–15. https://doi.org/10.1017/ipo.2024.10
Identification Number:	10.1017/ipo.2024.10
Bibliographic Citation:	Giancaspro G, Lucenti F (2024). Implicit hierarchies in the EU representation of refugees: a comparative text-analysis of the European Parliament’s framing of Syrian and Ukrainian diasporas. Italian Political Science Review/Rivista Italiana di Scienza Politica 1–15. https://doi.org/10.1017/ipo.2024.10
Other Study-Related Materials
Label:	Replication_data.R
Text:	R script with codes for scraping debates from the European-Parliament website and performing Word- and Bigram-Frequency Analysis, Term Frequency-Inverse Document Frequency test and Structural Topic Modelling.
Notes:	type/x-r-syntax