La Divulgación de la información en la encrucijada de la crisis del COVID-19 en Paraguay

Fleitas, Olga Elizabeth Moreno

doi:10.32480/rscp.2020-25-1.58-85

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Barcelos et al (2021) identified that fake news in the pandemic period were spread mainly via WhatsApp and Facebook, with Google Trends showing a 34.3% increase in searches using the term "fake news." In the study by Moreno-Fleitas (2020), the main source of news about the COVID-19 pandemic in Paraguay, leading to false information about the disease, was Facebook, confirming the result obtained by the study by García-Marín et al (2022).…”

Section: Resultssupporting

confidence: 82%

The COVID-19 pandemic and the fake news: a literature review

Rosa,

Delduque,

Alves

2023

Saude soc.

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This article presents the results of the narrative review on fake news that occurred during the most critical period of the COVID-19 pandemic. A word search was carried out in the BVSMS, BVSalud, and Scielo databases, using the expression fake news AND COVID-19, notícia falsa AND COVID-19, and desinformación AND COVID-19, since these expressions addressed the two languages selected for the review: Portuguese and Spanish. The inclusion criterion favored articles that used the web as a source of research, published between 2020 and 2022. A total of 24 articles were analyzed, 14 written in Portuguese and 10 in Spanish. The year 2022 concentrated the largest number of publications (n=11), and we concluded that social networks are the vehicles for the greatest dissemination of this type of information. The spread of fake news during the second year of the COVID-19 pandemic was as worrying as the disease itself, but the literature has not explored sufficiently the phenomenon that still follows the pandemic still underway. Most of the analyzed texts advised to the use of the news dissemination strategy to disseminate useful information about health, concluding that the analyzed studies demonstrated that the false news were incomplete or misleading, but most were unintentional.

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Section: Resultssupporting

confidence: 82%

The COVID-19 pandemic and the fake news: a literature review

Rosa,

Delduque,

Alves

2023

Saude soc.

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“…For example, in Peru, information overload on social networks positively impacts the generation of technostress, and the latter influences the development of burnout (Alvarez-Risco et al, 2021). In Paraguay, the dissemination of excessive information, often false, generated risky healthcare practices (Moreno-Fleitas, 2020) and depressive symptoms (Torales et al, 2022). In the Bolivian case, at the beginning of the pandemic, excessive information about COVID-19 on social networks was related to a greater perception of risk, which, in turn, was associated with the adoption of preventive behaviors (Zeballos Rivas et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Network analysis of pandemic fatigue symptoms in samples from five South American countries

Caycho-Rodríguez,

Torales,

Ventura-León

et al. 2024

Int J Soc Psychiatry

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Background: Pandemic fatigue generates low motivation or the ability to comply with protective behaviors to mitigate the spread of COVID-19. Aims: This study aimed to analyze the symptoms of pandemic fatigue through network analysis in individuals from five South American countries. Method: A total of 1,444 individuals from Argentina, Bolivia, Paraguay, Peru, and Uruguay participated and were evaluated using the Pandemic Fatigue Scale. The networks were estimated using the ggmModSelect estimation method and a polychoric correlation matrix was used. Stability assessment of the five networks was performed using the nonparametric resampling method based on the case bootstrap type. For the estimation of network centrality, a metric based on node strength was used, whereas network comparison was performed using a permutation-based approach. Results: The results showed that the relationships between pandemic fatigue symptoms were strongest in the demotivation dimension. Variability in the centrality of pandemic fatigue symptoms was observed among participating countries. Finally, symptom networks were invariant and almost identical across participating countries. Conclusions: This study is the first to provide information on how pandemic fatigue symptoms were related during the COVID-19 pandemic.

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