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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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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. |
format | Online Article Text |
id | pubmed-9469823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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