Homofilia, polarización afectiva y desinformación en Twitter. Caso de estudio sobre la crisis migratoria #Openarms

  1. Castillo de Mesa, Joaquín 1
  2. Méndez Domínguez, Paula 1
  3. Carbonero Muñoz, Domingo 2
  4. Gómez Jacinto, Luis 1
  1. 1 Universidad de Málaga
    info

    Universidad de Málaga

    Málaga, España

    ROR https://ror.org/036b2ww28

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Redes: Revista hispana para el análisis de redes sociales

ISSN: 1579-0185

Año de publicación: 2021

Título del ejemplar: Las redes de habla hispana

Volumen: 32

Número: 2

Páginas: 153-172

Tipo: Artículo

DOI: 10.5565/REV/REDES.913 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Redes: Revista hispana para el análisis de redes sociales

Resumen

El Mediterráneo es una de las rutas migratorias más mortíferas del mundo y se ha convertido una vez más en centro de la polémica en relación a la actuación del buque humanitario Open Arms. Este buque, tras rescatar migrantes del mar,  estuvo en travesía durante diecinueve días, bloqueado institucionalmente y envuelto en disputas diplomáticas en la Unión Europea. Como reacción, la ciudadanía, distintos actores sociales y la propia ONG Open Arms hicieron uso de Twitter para intercambiar información y expresar opiniones y sentimientos en relación con el fenómeno migratorio. En este artículo se analizan pautas de conectividad e interacción de los usuarios de Twitter en torno al hashtag #Openarms. Tras recoger muestras masivas de tuits con técnicas de extracción, se identificaron los actores sociales con mayor liderazgo mediante análisis de redes sociales. Se han detectado comunidades por medio del algoritmo de modularidad, cuyo contenido ha sido interpretado mediante netnografía. Los resultados evidencian cómo los usuarios de Twitter tienden a congregarse con quienes comparten sus mismas creencias, formándose las denominadas cámaras eco. La interacción en base a este suceso despertó estados emocionales colectivos que dieron lugar a burbujas filtro que potenciaron la desinformación y la polarización entre comunidades. 

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Fuente de los datos: Dialnet