Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 10
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 2019
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Assessing the Accuracy of COVID-19 Information Circulating in a Facebook Online Community@en
                    [1] => Assessing the Accuracy of COVID-19 Information Circulating in a Facebook Online Community@pt
                )

        )

    [3] => stdClass Object
        (
            [abstract] => 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.@en
                    [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.@pt
                )

        )

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

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Covid-19@en
                    [1] => Data quality@en
                    [2] => Health information exchange@en
                    [3] => Misinformation@en
                    [4] => Sars-cov-2 infection@en
                    [5] => Social media@en
                    [6] => Data quality@pt
                    [7] => Social media@pt
                    [8] => Sars-cov-2 infection@pt
                    [9] => Misinformation@pt
                    [10] => Health information exchange@pt
                    [11] => Covid-19@pt
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 54
                    [nr] => 1
                    [year] => 2025
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2025-04-01
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.18225/ci.inf.v54i1.7569
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://revista.ibict.br/ciinf/article/view/7569
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://revista.ibict.br/ciinf/article/view/7569/7332
                                )

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                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => en
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => Copr
                    [1] => by-sa/4.0
                )

        )

)