Analizando la campaña #stophateforprofit en twitter con análisis de redes sociales
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2023
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Puerta Díaz, M. Martínez Ávila, D., Ovalle Perandones, M.A. (2023). Analizando la campaña #StopHateforProfit en Twitter con Análisis de Redes Sociales = Analyzing the #StopHateforProfit campaign on Twitter with Social Network Analysis. En Actas del VI Summer Course en ARS y VI Workshop de Investigación : ARS Y SALUD : Villafranca del Bierzo (León, España) : 8-10 de julio de 2021, 49-60
Abstract
Las dinámicas de comunicación de los participantes en la campaña Stop Hate for Profit a través del ARS, se analizan tras la colecta de tweets con la API de Twitter entre 25/06/2020 y el 07/08/2020 en RStudio. Se identifican los actores más populares y activos. El sentiment analysis arrojó la prevalencia de sentimientos positivos en la emisión de opiniones durante la campaña.
The communication dynamics of the actors participating in the Stop Hate for Profit campaign are analyzed using social networks analysis. The recollection of tweets was carried out using the Twitter API in RStudio from June 25-August 7, 2020. The most popular and most active actors are described. The use of sentiment analysis showed the prevalence of positive sentiments in the expression of opinions during the campaign.
The communication dynamics of the actors participating in the Stop Hate for Profit campaign are analyzed using social networks analysis. The recollection of tweets was carried out using the Twitter API in RStudio from June 25-August 7, 2020. The most popular and most active actors are described. The use of sentiment analysis showed the prevalence of positive sentiments in the expression of opinions during the campaign.