Digital Narratives of COVID-19: A Twitter Dataset for Text Analysis in Spanish
Digital Narratives of COVID-19 (DHCovid) offers a curated Twitter corpus of digital conversations about the Coronavirus pandemic. The dataset is collected through a script via Twitter’s Application Programming Interface (API) starting on April 24th, 2020, and stored on GitHub as an open access repos...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/163331 |
| Acceso en línea: | http://hdl.handle.net/11336/163331 |
| Access Level: | acceso abierto |
| Palabra clave: | NARRATIVAS MINERIA DE TEXTOS VISUALIZACION DE DATOS https://purl.org/becyt/ford/6.2 https://purl.org/becyt/ford/6 |
| Sumario: | Digital Narratives of COVID-19 (DHCovid) offers a curated Twitter corpus of digital conversations about the Coronavirus pandemic. The dataset is collected through a script via Twitter’s Application Programming Interface (API) starting on April 24th, 2020, and stored on GitHub as an open access repository of tweet identifiers that can be consulted, downloaded, and reused by scholars interested in Natural Language Processing (NLP), topic modelling, and other quantitative methods. A stable version of the dataset has also been released through Zenodo. Twitter datasets are structured in three main collections: tweets in Spanish worldwide; geolocated tweets in six Spanishspeaking areas spanning North and Central America (Mexico, Columbia, Ecuador), South America (Argentina, Peru), and Europe (Spain); and geolocated tweets in English and Spanish from the greater Miami area in South Florida. |
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