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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Política, Twitter y Covid-19. La percepción de los turistas extranjeros durante la desescalada en España en la primavera de 2021

Authors: Blanco Pérez, Manuel; Barrientos Báez, Almudena; Caldevilla Domínguez, David;

Política, Twitter y Covid-19. La percepción de los turistas extranjeros durante la desescalada en España en la primavera de 2021

Abstract

This file contains the job database described below. The traditional journalism of the written press of the day and the linear generalist television news have lost their monopoly as generators of public opinion. The communicative and social relevance of social networks is indisputable, even more so in circumstances such as those provoked by the Covid-19 election period for the Community of Madrid. We focus on two issues of great relevance in networks in this period: the image of tourism and policy makers on Twitter and in Spain between March and May 2021. The results of the analyses carried out with computational and corpus tools reveal a very heterogeneous constellation of participants, as well as that the pandemic and its management was, in general, used as an electoral weapon through the arrival of tourism in the middle of the pandemic in the capital. The analyses of key words and their associations show a vision of tourism with a clear electoral intention, where all the general interest was subordinated to the battle for Madrid.

Papers data: The traditional journalism of the written press of the day and the linear generalist television news have lost their monopoly as generators of public opinion. The communicative and social relevance of social networks is indisputable, even more so in circumstances such as those provoked by the Covid-19 election period for the Community of Madrid. We focus on two issues of great relevance in networks in this period: the image of tourism and policy makers on Twitter and in Spain between March and May 2021. The results of the analyses carried out with computational and corpus tools reveal a very heterogeneous constellation of participants, as well as that the pandemic and its management was, in general, used as an electoral weapon through the arrival of tourism in the middle of the pandemic in the capital. The analyses of key words and their associations show a vision of tourism with a clear electoral intention, where all the general interest was subordinated to the battle for Madrid.

Keywords

social networks; data journalism; twitter; twitter; network visualization; politics, election campaigning

EOSC Subjects

Twitter Data

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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Average
2
2