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                            [identifier] => oai:ojs.revista.ibict.br:article/7569
                            [datestamp] => 2025-04-02T16:55:07Z
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                                    [title] => Array
                                        (
                                            [0] => Assessing the Accuracy of COVID-19 Information Circulating in a Facebook Online Community
                                            [1] => Assessing the Accuracy of COVID-19 Information Circulating in a Facebook Online Community
                                        )

                                    [creator] => Array
                                        (
                                            [0] => Barbosa, Leticia
                                            [1] => Amaral Pereira, Mariane 
                                            [2] =>  Pereira Neto, André
                                            [3] => Barbosa, Leticia 
                                            [4] => Amaral Pereira, Mariane 
                                            [5] =>  Pereira Neto, André
                                        )

                                    [subject] => Array
                                        (
                                            [0] => covid-19
                                            [1] => data quality
                                            [2] => health information Exchange
                                            [3] => misinformation
                                            [4] => SARS-CoV-2 infection
                                            [5] => social media
                                            [6] => data quality
                                            [7] => social media
                                            [8] => SARS-CoV-2 infection
                                            [9] => misinformation
                                            [10] => health information Exchange
                                            [11] => covid-19
                                        )

                                    [description] => Array
                                        (
                                            [0] => Online health communities (OHCs) have emerged as critical platforms for accessing and exchanging health-related information, including updates about COVID-19. Given the prevalence of misinformation in digital spaces, ensuring the quality of online health content remains a pressing concern. This study evaluates the accuracy of COVID-19-related information disseminated within a Facebook-based OHC. We compared the community’s content to the most robust and up-to-date scientific evidence available during the study period (November 2021 to January 2022). By analyzing posts and their corresponding comments, we identified three dominant themes: “post-COVID,” “vaccination,” and “infection.” Our findings reveal significant gaps in accuracy: nearly 60% of claims about “post-COVID” lacked scientific support, 12.9% of vaccination-related content was inaccurate, and only 47% of infection-related posts aligned fully with evidence-based guidelines. Overall, approximately one-third of the OHC’s content was partially or entirely inconsistent with scientific consensus. These results highlight the persistent risk of COVID-19 misinformation exposure among participants in online health communities, underscoring the need for proactive interventions to enhance information quality in digital health spaces.
                                            [1] => Online health communities (OHCs) have emerged as critical platforms for accessing and exchanging health-related information, including updates about COVID-19. Given the prevalence of misinformation in digital spaces, ensuring the quality of online health content remains a pressing concern. This study evaluates the accuracy of COVID-19-related information disseminated within a Facebook-based OHC. We compared the community’s content to the most robust and up-to-date scientific evidence available during the study period (November 2021 to January 2022). By analyzing posts and their corresponding comments, we identified three dominant themes: “post-COVID,” “vaccination,” and “infection.” Our findings reveal significant gaps in accuracy: nearly 60% of claims about “post-COVID” lacked scientific support, 12.9% of vaccination-related content was inaccurate, and only 47% of infection-related posts aligned fully with evidence-based guidelines. Overall, approximately one-third of the OHC’s content was partially or entirely inconsistent with scientific consensus. These results highlight the persistent risk of COVID-19 misinformation exposure among participants in online health communities, underscoring the need for proactive interventions to enhance information quality in digital health spaces.
                                        )

                                    [publisher] => Instituto Brasileiro de Informação em Ciência e Tecnologia (Ibict)
                                    [date] => 2025-04-01
                                    [type] => Array
                                        (
                                            [0] => info:eu-repo/semantics/article
                                            [1] => info:eu-repo/semantics/publishedVersion
                                            [2] => Peer-reviewed articles
                                            [3] => Evaluado por pares
                                            [4] => Avaliado por pares
                                        )

                                    [format] => application/pdf
                                    [identifier] => Array
                                        (
                                            [0] => https://revista.ibict.br/ciinf/article/view/7569
                                            [1] => 10.18225/ci.inf.v54i1.7569
                                        )

                                    [source] => Array
                                        (
                                            [0] => Ciência da Informação; Vol. 54 No. 1 (2025): Publicações em Fluxo Contínuo 2025 - Ciência da Informação
                                            [1] => Ciência da Informação; Vol. 54 Núm. 1 (2025): Publicações em Fluxo Contínuo 2025 - Ciência da Informação
                                            [2] => Ciência da Informação; v. 54 n. 1 (2025): Publicações em Fluxo Contínuo 2025 - Ciência da Informação
                                            [3] => 1518-8353
                                            [4] => 0100-1965
                                            [5] => 10.18225/ci.inf.v54i1
                                        )

                                    [language] => eng
                                    [relation] => https://revista.ibict.br/ciinf/article/view/7569/7332
                                    [rights] => Array
                                        (
                                            [0] => Copyright (c) 2025 Leticia Barbosa, Mariane  Amaral Pereira, André  Pereira Neto
                                            [1] => https://creativecommons.org/licenses/by-sa/4.0
                                        )

                                )

                        )

                )

        )

)