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Analyzing the EU Migration Crisis as Reflected on Twitter

The proliferation of social media has resulted in its extensive use as a valuable source of information for researchers. This paper aims to use Twitter data to analyze and visualize tweets about the migration crisis in the European Union from 2016 to 2021. The paper uses a methodology to structure d...

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Detalles Bibliográficos
Autores principales: Mukherjee, Sagnik, Hauthal, Eva, Burghardt, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469823/
https://www.ncbi.nlm.nih.gov/pubmed/36119966
http://dx.doi.org/10.1007/s42489-022-00114-6
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author Mukherjee, Sagnik
Hauthal, Eva
Burghardt, Dirk
author_facet Mukherjee, Sagnik
Hauthal, Eva
Burghardt, Dirk
author_sort Mukherjee, Sagnik
collection PubMed
description The proliferation of social media has resulted in its extensive use as a valuable source of information for researchers. This paper aims to use Twitter data to analyze and visualize tweets about the migration crisis in the European Union from 2016 to 2021. The paper uses a methodology to structure data for better understanding of complex social media data. The methods and metrics include the facet model of location based social media, the HyperLogLog data structure and novel uses of the metric typicality. The authors have also developed a web based interactive application closely following the methodology used to organize the dataset. Additionally the work also includes maps using spatial typicality which could be utilized for studying spatial phenomenon. The case study selected also provides unique insights and sets a template for working with multi-lingual geo-social media data. The authors believe that these methods and metrics could be reproduced for other case studies and aid in understanding and communication geo-social media data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42489-022-00114-6.
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spelling pubmed-94698232022-09-14 Analyzing the EU Migration Crisis as Reflected on Twitter Mukherjee, Sagnik Hauthal, Eva Burghardt, Dirk KN J Cartogr Geogr Inf Article The proliferation of social media has resulted in its extensive use as a valuable source of information for researchers. This paper aims to use Twitter data to analyze and visualize tweets about the migration crisis in the European Union from 2016 to 2021. The paper uses a methodology to structure data for better understanding of complex social media data. The methods and metrics include the facet model of location based social media, the HyperLogLog data structure and novel uses of the metric typicality. The authors have also developed a web based interactive application closely following the methodology used to organize the dataset. Additionally the work also includes maps using spatial typicality which could be utilized for studying spatial phenomenon. The case study selected also provides unique insights and sets a template for working with multi-lingual geo-social media data. The authors believe that these methods and metrics could be reproduced for other case studies and aid in understanding and communication geo-social media data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42489-022-00114-6. Springer International Publishing 2022-07-09 2022 /pmc/articles/PMC9469823/ /pubmed/36119966 http://dx.doi.org/10.1007/s42489-022-00114-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mukherjee, Sagnik
Hauthal, Eva
Burghardt, Dirk
Analyzing the EU Migration Crisis as Reflected on Twitter
title Analyzing the EU Migration Crisis as Reflected on Twitter
title_full Analyzing the EU Migration Crisis as Reflected on Twitter
title_fullStr Analyzing the EU Migration Crisis as Reflected on Twitter
title_full_unstemmed Analyzing the EU Migration Crisis as Reflected on Twitter
title_short Analyzing the EU Migration Crisis as Reflected on Twitter
title_sort analyzing the eu migration crisis as reflected on twitter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469823/
https://www.ncbi.nlm.nih.gov/pubmed/36119966
http://dx.doi.org/10.1007/s42489-022-00114-6
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