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2,511 to 2,520 of 3,312 Results
May 8, 2025
ROMANO MOZO, MANUELA; Porto, M Dolores, 2025, "Sample of 200 news items on election results (USA, Spain, France and Italy) containing water metaphors", https://doi.org/10.21950/KAVWY9, e-cienciaDatos, V1
The project’s main aim is to analyze WAVE and TIDE metaphors in four countries (USA, Spain, France and Italy) undergoing elections in 2022 and 2023. To this aim, a of all ideological stances and analyzed for their frequencies, collocations, mappings, elaborations and evaluative meanings. The dataset includes 200 news items, collected from digital m...
Texto plano - 3,0 KB - MD5: d3ff983c1745de20d6d75e2700c41ff8
DocumentaciónDocumentation
May 8, 2025
ROMANO MOZO, MANUELA; Porto, M Dolores, 2025, "Sample of 340 news items containing term "polarization" from 4 Spanish and British digital newspapers (2 center-left and 2 center-right wing) 2022", https://doi.org/10.21950/PHHHVQ, e-cienciaDatos, V1
The project’s main aim is to analyze the way in which the word 'polarisation' is used in a corpus of news items collected from four widely read mainstream newspapers, two Spanish and two British, all of them containing the word polarización/polarisation and published in 2022. The dataset includes 340 news items, collected from digital media 2022.
May 8, 2025
Peterssen, Silvia; Soares da Silva, Augusto, 2025, "Corpus of X posts of Spanish and Brazilian far-right populisms (Abascal and Bolsonaro, 2020-2021)", https://doi.org/10.21950/T3GTBD, e-cienciaDatos, V1
The project's main aim is to explore the discursive construction of polarisation and national identity in a corpus of X posts of Santiago Abascal and Jair Bolsonaro, the main far-right populist leaders in Spain and Brazil, respectively. The corpus covers the years 2020 and 2021, that is, the key years in the Covid-19 pandemic, so as to provide a re...
Texto plano - 4,6 KB - MD5: 3903deb6f02d549e0f92f1847c7de7c7
DocumentaciónDocumentation
Texto plano - 1,2 MB - MD5: 063c5dd67be98d15f7721fe796d36867
DataDatos
Texto plano - 1,3 MB - MD5: 8ebd692dbdc74a24f418a9a03cc3889d
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