Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

This study highlights the important role of determinants of susceptibility to COVID-19 misinformation that go beyond purely socioeconomic and ideological factors. Although these factors are relevant in explaining the social reproduction of this phenomenon, some determinants are linked to the use of social media (ie, searching and sharing of alternative health information) and probably the political disaffection of citizens who have stopped believing in both the ideologically centrist mainstream parties and the institutions that represent them. Furthermore, by establishing the profile and geographic distribution of the convinced, hesitant, and skeptical groups, our results provide useful insights for public health interventions. Specific strategies should focus on restoring institutional trust, promoting reliable sources of information, and addressing structural drivers of health misinformation linked to gender inequalities.

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Publication Details

Journal
JMIR Infodemiology
Published
2025-06-16
DOI
https://doi.org/10.2196/69945
Citations
3
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
12.60
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article

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

Angelos P. Kassianos, Paloma Sanz‐Marcos, Maribel Serrano-Macías, Ilaria Montagni et al.
3 citations
JMIR Infodemiology
Misinformation and Its Impacts
12.60
article

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

Angelos P. Kassianos, Paloma Sanz‐Marcos, Maribel Serrano-Macías, Ilaria Montagni, Antonio Rojas‐García, Carolina Lagares, Jesús Carretero-Bravo, Esther Ortega‐Martin, Helena De Sola, Javier Álvarez‐Gálvez, José Almenara Barrios, María Camacho-García
article en
3 citations

Abstract

This study highlights the important role of determinants of susceptibility to COVID-19 misinformation that go beyond purely socioeconomic and ideological factors. Although these factors are relevant in explaining the social reproduction of this phenomenon, some determinants are linked to the use of social media (ie, searching and sharing of alternative health information) and probably the political disaffection of citizens who have stopped believing in both the ideologically centrist mainstream parties and the institutions that represent them. Furthermore, by establishing the profile and geographic distribution of the convinced, hesitant, and skeptical groups, our results provide useful insights for public health interventions. Specific strategies should focus on restoring institutional trust, promoting reliable sources of information, and addressing structural drivers of health misinformation linked to gender inequalities.

JMIR InfodemiologyVol. 5
Université de Bordeaux (FR), Inserm (FR), Cyprus University of Technology (CY), Universidad de Granada (ES), Universidad Loyola Andalucía (ES), Universidad de Cádiz (ES), Bordeaux Population Health (FR), Hospital Jerez Puerta del Sur (ES)
Good health and well-being
Openalex Percentile: Top 2%
Misinformation and Its Impacts
12.60
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