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...

Full description

Bibliographic Details
Published in:Journal of Open Humanities Data Vol. 7; no. 1; pp. 1 - 8
Main Authors: ALLÉS-TORRENT, SUSANNA, DEL RIO RIANDE, GIMENA, BONNELL, JERRY, SONG, DIEYUN, HERNÁNDEZ, NIDIA
Format: Article
Published: Ubiquity Press 2021
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=155673618&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 155673618
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        2059481X
        MPQW
      jtl: Journal of Open Humanities Data
      issn: 2059481X
      maglogo: N
    pubinfo:
      dt: 2021
      vid: 7
      iid: 1
      pid: 83901
      pub: Ubiquity Press
    artinfo:
      ui:
        155673618
        10.5334/johd.28
      ppf: 1
      ppct: 7
      formats:
      tig:
        atl: Digital Narratives of COVID-19: A Twitter Dataset for Text Analysis in Spanish.
      aug:
        au:
          ALLÉS-TORRENT, SUSANNA
          DEL RIO RIANDE, GIMENA
          BONNELL, JERRY
          SONG, DIEYUN
          HERNÁNDEZ, NIDIA
        affil:
          Department of Modern Languages and Literatures, University of Miami, Miami, USA
          Instituto de Investigaciones Bibliográficas y Crítica Textual, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, AR
          Department of Computer Science, University of Miami, Miami, USA
          Department of History, University of Miami, Miami, USA
          Centro Argentino de Información Científica y Tecnológica, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, AR
      su:
        COVID-19 pandemic
        Twitter (Web resource)
        Digital humanities
        Application program interfaces
        Natural language processing
        Data mining
      sug:
        subj:
          COVID-19 pandemic
          Twitter (Web resource)
          Digital humanities
          Application program interfaces
          Natural language processing
          Data mining
      keyword:
        COVID-19
        data mining
        Digital Humanities
        Natural Language Processing
        Twitter
      ab: 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, Colombia, Ecuador), South America (Argentina, Peru), and Europe (Spain); and geolocated tweets in English and Spanish from the greater Miami area in South Florida.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 2021
    holdings:
      @attributes:
        islocal: N