Modelos estadísticos aplicados a las campañas electorales en Social Media en Europa en 2019
DOI:
https://doi.org/10.31637/epsir-2024-1663Keywords:
Social Media, Facebook, campañas electorales, ML-SEM, MNCLM, publicidad política, UE, biblioteca de anunciosAbstract
Introducción: Existe una necesidad cada vez mayor de establecer modelos de evaluación para la publicidad política digital, especialmente en la ciberdemocracia europea, ya que la legislación de la UE aún no está completamente adaptada a la realidad digital. Como tal, puede generar preocupaciones con respecto al alcance de la influencia de las campañas políticas electorales en las plataformas de redes sociales a la hora de persuadir las preferencias políticas y los votos. Metodología: La metodología aplica los modelos ML-SEM y MNCLM para explorar técnicas de reconocimiento de regularidades y técnicas de mapeo multivariado con el objetivo de evaluar las pautas de publicidad política en las campañas seleccionadas en la biblioteca de anuncios de Facebook. Resultados: El estudio revela las relaciones entre las características de los anuncios y el alcance e impacto social, incluidas las características de las audiencias. Discusión: Sin la aplicación de técnicas avanzadas en estadística, esas campañas en las redes sociales no pueden evaluarse adecuadamente en términos de impacto y relaciones estadísticas entre variables cualitativas y cuantitativas de las campañas políticas electorales en las redes sociales. Conclusiones: El modelo demostró un grado considerable de influencia de aquellas campañas relacionadas con determinadas estrategias de publicidad en las redes sociales.
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