One of the main dimensions characterizing the unfolding of opinion formation processes in social debates is the degree of open-mindedness of the involved population. Opinion dynamic modeling studies have tried to capture such a peculiar expression of individuals' personalities and relate it to emerging phenomena like polarization, radicalization, and ideology fragmentation. However, one of their major limitations lies in the strong assumptions they make on the initial distribution of such characteristics, often fixed so as to satisfy a normality hypothesis. Here we propose a data-driven methodology to estimate users' openmindedness from online discussion data. Our analysis-focused on the political discussion taking place on Reddit during the first two years of the Trump presidency-unveils the existence of statistically diverse distributions of open-mindedness in annotated sub-populations (i.e., Republicans, Democrats, and Moderates/Neutrals). Moreover, such distributions appear to be stable across time and generated by individual users' behaviors that remain consistent and underdispersed.

Change my mind : data driven estimate of open-mindedness from political discussions

Pansanella, Valentina;
2023

Abstract

One of the main dimensions characterizing the unfolding of opinion formation processes in social debates is the degree of open-mindedness of the involved population. Opinion dynamic modeling studies have tried to capture such a peculiar expression of individuals' personalities and relate it to emerging phenomena like polarization, radicalization, and ideology fragmentation. However, one of their major limitations lies in the strong assumptions they make on the initial distribution of such characteristics, often fixed so as to satisfy a normality hypothesis. Here we propose a data-driven methodology to estimate users' openmindedness from online discussion data. Our analysis-focused on the political discussion taking place on Reddit during the first two years of the Trump presidency-unveils the existence of statistically diverse distributions of open-mindedness in annotated sub-populations (i.e., Republicans, Democrats, and Moderates/Neutrals). Moreover, such distributions appear to be stable across time and generated by individual users' behaviors that remain consistent and underdispersed.
2023
Settore INF/01 - Informatica
COMPLEX NETWORKS 2022 : The Eleventh International Conference on Complex Networks and their Applications
Palermo
2022-11-08 – 2022-11-10
Complex Networks and Their Applications XI : Proceedings of The Eleventh International Conference on Complex Networks and Their Applications : COMPLEX NETWORKS 2022. Volume 1
Springer International Publishing,
978-3-031-21126-3
Online debates; open-mindedness; political polarization; opinion dynamics
   SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics
   SoBigData-PlusPlus
   European Commission
   Horizon 2020 Framework Programme
   871042

   Social Explainable Artificial Intelligence
   SAI
   CHIST-ERA
   CHIST-ERA-19-XAI-010
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/135524
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