The network structure of trust in the Covid-19 pandemic
Datos Bibliográficos
| ID | 12657443 |
|---|---|
| Autores | Paulína Tabery (0000-0002-8845-9216, Public Opinion Research Centre, Institute of Sociology CAS, Praha, Czech Republic, autor de correspondencia), Matouš Pilnáček (0000-0002-2871-0667, Public Opinion Research Centre, Institute of Sociology CAS, Praha, Czech Republic) |
| Año | 2020 |
| Volumen | 23 |
| Número | sup1 |
| Páginas | S689-S703 |
| Fecha de publicación | 2020-10-22 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | European Societies (JOURNAL) |
| Identificadores de la revista | ISSN: 1461-6696 • E-ISSN: 1469-8307 |
| Editorial | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/14616696.2020.1834597 |
| OpenAlex | W3094313230 |
| Idioma | EN |
| Citas recibidas | 6 |
| Referencias citadas | 22 |
Trust is considered an essential part of a democratic society. That is why it is important to pay attention to it, especially in times of crisis. Some recent studies have introduced a new approach to examining attitudes and trust using social network analysis. The aim of our study is to examine the relationship between different types of trust during the coronavirus crisis. Using a sample representative of the adult population of the Czech Republic, our text discusses what the network structure of trust is like during the current pandemic. We find that the institutions or actors that are directly involved in resolving the crisis, such as security institutions and medical professionals, are located at the centre of the network of trust
Coronavirus disease 2019 (COVID-19 · Czech · Democracy · Network structure · Pandemic · Political science · Politics · Population · Public relations · Sample (material · Social media · Social network (sociolinguistics · Social network analysis · Sociology · Computer Science · COVID-19 and Mental Health · Demography · Law · Mental Health Research Topics · Misinformation and Its Impacts
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| Obras citantes distintas | 6 |
|---|---|
| Citas por año | 1,2 |
| Intervalo de citas | 2021 - 2026 (6) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 6 |