DYNNET
Financiado
Opinion Dynamics
In this project I propose to study opinion dynamics in social networks and groups. In particular, I will ask how opinion dynamics contribute to shape social identity and how, conversely, social identity affects communication. I al...
In this project I propose to study opinion dynamics in social networks and groups. In particular, I will ask how opinion dynamics contribute to shape social identity and how, conversely, social identity affects communication. I also ask whether and when social identity is a barrier to communication, when opinion bubbles are created and when and how fake news can spread. The types of social identity I consider include social class, ethnicity and gender. The project consists of four subprojects.
The first subproject [A] focuses on communication between social classes and inequality. The subproject asks how opinion dynamics contribute to diverging experiences, core behaviours and values that go much beyond income inequality. I will first document this divergence by conducting experiments in a representative sample of the UK population via the UK Household panel and then conduct lab experiments to study opinion dynamics and the conditions under which opinion bubbles arise in more detail.
Subproject [B] focuses on gender bias in committees. A large body of empirical evidence has documented gender biases in decisions, such as hiring, promotion, or performance evaluations. Many of these decisions involve communication and deliberation among committee members. Nevertheless the role of opinion dynamics in committees in creating or amplifying gender bias has not been explored. Subproject [B] aims to fill this gap.
Subproject [C] will focus on how perceived uncertainty contributes to the spread of discriminatory attitudes with a particular focus on ethnic discrimination. Subproject [C] will be conducted both using a representative sample of the UK population via the Innovation Panel of Understanding Society, the UK Household panel as well as lab experiments.
The last subproject [D] will use lab experiments to study under which conditions opinion dynamics can become vulnerable to fake news.
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Duración del proyecto: 55 meses
Fecha Inicio: 2018-10-25
Fecha Fin: 2023-05-31
Fecha Fin: 2023-05-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2023-05-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2018-STG:
ERC Starting Grant
Cerrada
hace 7 años
Presupuesto
El presupuesto total del proyecto asciende a
831K€
Líder del proyecto
UNIVERSITY OF ESSEX
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
392.77K€ |
Participante