Memorias de investigación
Communications at congresses:
Opinion Polarization during dichotomous Twitter conversations
Year:2019

Research Areas
  • Physics chemical and mathematical

Information
Abstract
Political polarization is a social phenomenon that has several consequences in peoples lives and whose nature is not completely understood. We say that a population is perfectly polarized when divided in two groups of the same size and opposite opinions. In this work, we have studied the polarization phenomena around Twitter conversations concerning different topics with clearly opposed opinions: electoral process with two candidates and social unrest. In each of the conversations, we have found a bipolar opinion distribution and a high value of the polarization index. In particular, we will present results of following Twitter conversations: ? The second round of the 2017 Chilean elections [1], where voters had to choose between the final two candidates. ? The Catalans independence process, where there are two clearly opposed positions (in favor and against independence) To this end, we have built retweet networks and applied the model to estimate opinions proposed in [2], in which a minority of influential individuals propagate their opinions through the social network. The model takes into account two types of users, elites and listeners. In this model elite users have a fixed opinion that remains constant and acts like seeds of influence. In contrast, the opinion of listeners is unknown and will be estimated from their social interactions.
International
Si
Congress
THE 8TH INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS AND THEIR APPLICATIONS (COMPLEX NETWORKS 2019) [https://www.2019.complexnetworks.org]
960
Place
Lisboa (Portugal)
Reviewers
Si
ISBN/ISSN
978-2-9557050-3-2
Start Date
10/12/2019
End Date
12/12/2019
From page
546
To page
548
COMPLEX NETWORKS 2019 - BOOK OF ABSTRACT [https://drive.google.com/open?id=1wJ0eCPruTARpvuq48ku9grFcKVcWC3re]
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Ingeniería Agroforestal