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pro vyhledávání: '"Quayle, Michael"'
This study investigates the emergence of collective identity among individuals critical of vaccination policies in France during the COVID-19 pandemic. As concerns grew over mandated health measures, a loose collective formed on Twitter to assert aut
Externí odkaz:
http://arxiv.org/abs/2410.12676
Autor:
Carpentras, Dino, Quayle, Michael
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of mea
Externí odkaz:
http://arxiv.org/abs/2312.05101
Using word embeddings to analyse audience effects and individual differences in parenting Subreddits
Human beings adapt their language to the audience they interact with. To study the impact of audience and gender in a natural setting, we choose a domain where gender plays a particularly salient role: parenting. We collect posts from the three popul
Externí odkaz:
http://arxiv.org/abs/2303.12759
While major strides have been made towards gender equality in public life, serious inequality remains in the domestic sphere, especially around parenting. The present study analyses discussions about parenting on Reddit to explore audience effects an
Externí odkaz:
http://arxiv.org/abs/2202.12962
Autor:
Carpentras, Dino, Quayle, Michael
Opinion dynamics models have an enormous potential for studying current phenomena such as vaccine hesitancy. Unfortunately, to date, most of the models have little to no empirical validation. One major problem in testing these models against real-wor
Externí odkaz:
http://arxiv.org/abs/2106.04328
Networks, representing attitudinal survey data, expose the structure of opinion-based groups. We make use of these network projections to identify the groups reliably through community detection algorithms and to examine social-identity-based groups.
Externí odkaz:
http://arxiv.org/abs/2104.14427
A survey can be represented by a bipartite network as it has two types of nodes, participants and items in which participants can only interact with items. We introduce an agreement threshold to take a minimal projection of the participants linked by
Externí odkaz:
http://arxiv.org/abs/2012.11392
Opinion dynamics models have been developed to study and predict the evolution of public opinion. Intensive research has been carried out on these models, especially exploring the different rules and topologies, which can be considered two degrees of
Externí odkaz:
http://arxiv.org/abs/2010.04788
Publikováno v:
Phys. Rev. E 103, 012314 (2021)
When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network. This behavior cannot be captured by existing mean-field approximation
Externí odkaz:
http://arxiv.org/abs/2007.14151
Analysis of temporal network data arising from online interactive social experiments is not possible with standard statistical methods because the assumptions of these models, such as independence of observations, are not satisfied. In this paper, we
Externí odkaz:
http://arxiv.org/abs/1908.02586