Winning! Election returns and engagement in social media

• Autores: Calvo, Ernesto; Ventura, Tiago; Aruguete, Natalia; Waisbord, Silvio Ricardo
• Año de publicación: 2023
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: SOCIAL MEDIA; ENGAGEMENT; TWITTER; ELECCIONES
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

This article analyzes social media engagement when elections are adjudicated to one of the contending parties. We extend existing models of political dialogue to explain differences in social media engagement (i.e. time-to-retweet) when users support the winner or losers of an election. We show that users who support the winning candidate are more engaged and have a lower time-to-retweet. We also show heterogeneity in Twitter engagement conditional on the number of followers, with accounts with more followers being less sensitive to the election result. We measure the effect of electoral adjudication using a regression discontinuity design, with estimates by winning or losing status, and for accounts with many followers (high authority) or with few followers (low authority). Analyses use Twitter data collected in Argentina (2019), Brazil (2018), the United Kingdom (2019), and the United States (2016).
Fil: Calvo, Ernesto. University of Maryland; Estados Unidos
Fil: Ventura, Tiago. University of Maryland; Estados Unidos. University of New York; Estados Unidos
Fil: Aruguete, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina
Fil: Waisbord, Silvio Ricardo. The George Washington University; Estados Unidos