Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 96
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 1008
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Between scientific activity and activism: bibliometric and network analysis of the #StopHateForProfit campaign@en
                    [1] => Entre la actividad científica y el activismo: análisis bibliométrico y reticular de la campaña #StopHateForProfit@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => A bibliometric analysis of the scientific literature related to the #StopHateForProfit campaign for the period 2000-2023 is presented. The main aim is to identify patterns, recurring topics, and prominent co-authorships in the scientific literature related to #StopHateForProfit. A dataset of 194 works was compiled using the Publish or Perish software and data collected from Google Scholar. We conducted a co-authorship network analysis using the Pajek software and the Kamada-Kawai algorithm. Additionally, we used the VOSviewer software for a keyword co-occurrence analysis, providing a deeper understanding of the conceptual relationships in the reviewed literature. The concentration of publications in key authors and renowned academic institutions indicates the formation of a specialized knowledge core, signaling active and continuous engagement by the academic community with the topic. The co-authorship network analysis revealed five main authors with significant connections. Through the combination of bibliometric techniques and data visualization, a wide range of related topics was identified, ranging from corporate social responsibility to the influence of social movements and online regulations.@en
                    [1] => Se presenta un análisis bibliométrico de la literatura científica relacionada con la campaña #StopHateForProfit entre los años 2000-2023. El objetivo principal fue identificar patrones, temáticas recurrentes y colaboraciones de autoría destacadas en la literatura científica sobre #StopHateForProfit. Se conformó un conjunto de 194 trabajos mediante la utilización del software Publish or Perish y la recopilación de datos desde Google Académico. Se aplicó un análisis de redes de coautoría mediante el algoritmo Kamada-Kawai de Pajek y se utilizó el software VOSviewer para el análisis de coocurrencia de palabras clave, el cual proporcionó una comprensión más profunda de las relaciones conceptuales en la documentación revisada. La concentración de publicaciones en autores clave y en instituciones académicas de renombre indica la formación de un núcleo especializado de conocimiento, señalando un compromiso activo y continuo de la comunidad académica con la temática abordada. El análisis de la red de coautoría destacó cinco autores principales con conexiones significativas. A través de la combinación de técnicas bibliométricas y visualización de datos se han identificado una amplia gama de temas relacionados, desde la responsabilidad social corporativa hasta la influencia de movimientos sociales y la regulación en línea.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Mirelys Puerta-Díaz
                    [1] => Maria Antonia Ovalle-Perandones
                    [2] => Daniel Martínez-Ávila
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => #stophateforprofit@en
                    [1] => Scientific collaboration@en
                    [2] => Bibliometric analysis@en
                    [3] => Hate discourse@en
                    [4] => #stophateforprofit@es
                    [5] => Colaboración científica@es
                    [6] => Análisis bibliométrico@es
                    [7] => Discurso de odio@es
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 19
                    [nr] => 1
                    [year] => 2025
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2025-06-29
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.54886/ibersid.v19i1.5106
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/ibersid/article/view/5106
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/ibersid/article/view/5106/4416
                                )

                        )

                )

        )

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

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => RESERVED
                    [1] => by-nc-nd/4.0
                )

        )

)