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Raquel Rodríguez-García

Biographic Data

ID6627710
NAMERaquel Rodríguez-García
GIVEN NAMESRaquel
FAMILY NAMERodríguez-García
SIGNATURERODRÍGUEZ-GARCÍA R
AFFILIATIONSUNED NLP and IR Group
ORCID0009-0000-6964-5956
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Together we can do it! A roadmap to effectively tackle propaganda-related tasks

    Raquel Rodríguez-García, Roberto Centeno et al.•ARTICLE•Internet Research•2024•References: 1

    Purpose In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet. Design/methodology/approach We present a comprehensive study using several datasets on textual propa…

No prominent works on this page.

  • Together we can do it! A roadmap to effectively tackle propaganda-related tasks

    Raquel Rodríguez-García, Roberto Centeno et al.•ARTICLE•Internet Research•2024•References: 1

    Purpose In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet. Design/methodology/approach We present a comprehensive study using several datasets on textual propa…

Business (1 work) · Computer Science (1 work) · Hate Speech and Cyberbullying Detection (1 work) · Knowledge management (1 work) · Misinformation and Its Impacts (1 work) · Process management (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae