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Interactive mapping of Covid-19 disinformation in Ibero-America

Bibliographic Data

ID12623487
AuthorsMaría Jesús Colmenero Ruiz (0000-0002-1650-1091, Universidad Complutense de Madrid, corresponding author), Francisco Carlos Paletta (0000-0002-4112-5198, Universidade de São Paulo), Audilio Gonzales Aguilar (0000-0001-8693-2076, Université Paul-Valéry Montpellier)
Year2023
Publication date2023-10-04
Open AccessYes
TypeARTICLE
VenueEl Profesional de la Informacion (JOURNAL)
Journal identifiersISSN: 1386-6710 • E-ISSN: 1699-2407
PublisherEdiciones Profesionales de la Informacion SL (PUBLISHER)
DOI10.3145/epi.2023.sep.13
OpenAlexW4387330833
LanguageEN
Citations received3
References cited17

Fake news, created with different intentions and disseminated through various social networks and messaging platforms, has become a significant means of disinformation in the current landscape. In the face of certain events or controversial situations, the number of fake new items increases, a situation that can become worrying. One such event was the arrival of the Covid-19 pandemic. To combat this phenomenon, various fact-checking bodies appeared with the objective of demonstrating and disseminating whether a certain piece of information was correct. At the international level, these organizations have joined together in the #CoronaVirusFacts/#DatosCoronaVirus Alliance. The organization Chequeado from Argentina has collected information coming from Latin American (Latam) countries plus Spain and Portugal in a specific database, which allows for their analysis on an independent basis. The objective of this work is to analyze and make graphically visible the thematic distribution, media typology, and digital formats of the fake news that circulated regarding the coronavirus pandemic in Ibero-America by means of the social network analysis technique (SNA) and others, using the information from the aforementioned database. Its final visualization is shown by means of interactive mapping, which can be manipulated by the user to analyze the results through the application of different integrated filtering strategies

Alliance · Coronavirus disease 2019 (COVID-19 · Data science · Disinformation · Dissemination · Event (particle physics · Pandemic · Political science · Social media · Social network (sociolinguistics · Social network analysis · Sociology · Telecommunications · Typology · World Wide Web · Communication and COVID-19 Impact · Computer Science · Law · Misinformation and Its Impacts · Social Media and Politics

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Citations per year1.5
Citation span2024 - 2025 (2)
Highly citedNo

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