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Cambiar la atención a la precisión puede reducir la información errónea en línea
Gordon Pennycook1,2, Ziv Epstein3,4, Mohsen Mosleh4,5
1Hill/Levene Schools of Business, University of Regina, Regina, Saskatchewan, Canada. gordon.pennycook@uregina.ca.
Nature
|March 18, 2021
Resumen
La gente a menudo comparte información errónea en las redes sociales porque pasan por alto la exactitud. Cambiar la atención a la precisión puede mejorar la calidad de las noticias compartidas, desafiando las afirmaciones de que el partidismo supera la precisión.
Área de la Ciencia:
- Estudios de las redes sociales
- Ciencias de la información
- Psicología
Sus antecedentes:
- Creciente preocupación por la propagación de noticias falsas y engañosas en las plataformas de redes sociales.
- La investigación existente busca comprender los factores que impulsan el intercambio de información errónea y desarrollar estrategias de mitigación.
Objetivo del estudio:
- Investigar por qué las personas comparten información errónea en las redes sociales.
- Identificar intervenciones efectivas para reducir el intercambio de contenido inexacto en línea.
Principales métodos:
- Realizó cuatro experimentos de encuesta y un experimento de campo en Twitter.
- Analizó la veracidad de los titulares, las intenciones de intercambio y los juicios de precisión.
- Empleó análisis computacionales para examinar los comportamientos de intercambio.
Principales resultados:
- La precisión de los titulares tuvo un impacto mínimo en las intenciones de compartir, a pesar de influir en los juicios de precisión.
- Existe una disociación entre la precisión percibida y el comportamiento de compartir, lo que sugiere que compartir no siempre equivale a creer.
- Dirigir sutilmente la atención de los usuarios hacia la precisión mejoró significativamente la calidad de las noticias que compartían.
Conclusiones:
- Las personas a menudo comparten información errónea debido a la falta de enfoque en la precisión, no una preferencia por la inexactitud.
- Los hallazgos desafían la noción de que el partidismo siempre anula la precisión en el intercambio en línea.
- Las intervenciones basadas en la atención ofrecen una solución escalable para las plataformas de medios sociales para combatir la desinformación.
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