GIUV2026-033
MECS is an interdisciplinary group specializing in the quantitative analysis of data from the psychosocial field. Its objective is to understand the psychosocial dynamics underlying the various manifestations of social conflict, such as prejudice against minorities, hate speech, and the dynamics of disinformation that contribute to the development of social conflict. The group has a particular interest in approaching this study through the application of alternative statistical models (a person-centered approach) as opposed to the traditional statistical model based on a variable-centered approach, as well as through the use of experimental methodology.
- Development of statistical models based on obtaining latent classes and profiles for the study of social conflict and disinformation.
- Measurement of psychosocial constructs and development of measurement instruments related to social conflict: Development and validation of scales that capture new manifestations of prejudice towards minorities and social conflict.
- Analysis and modeling of psychosocial processes and group dynamics involved in the emergence of social activism, as well as in the processes of cohesion, collective participation and strengthening of the social movements.
- Development of explanatory models of prejudice. Analysis of the impact of socio-cognitive variables and intergroup conflict on the manifestation of prejudice towards minorities and adversary groups.
- Study of scientifically unfounded beliefs and other disinformation strategies. Analysis of the impact of socio-cognitive variables and intergroup conflict on adherence to empirically unfounded beliefs and other manifestations of disinformation.
- Development of interdisciplinary research tools and methods at the confluence of social psychology and computer science for the study of social conflict.
- Latent class analysis and Latent profile analysis.Statistical models based on the identification of latent classes and profiles for the study of social conflict and disinformation.
- Prejudice and intergoup conflict.Development of explanatory models of prejudice. Analysis of the impact of socio-cognitive variables and intergroup conflict on the manifestation of prejudice towards minorities and groups considered adversaries.
- Disinformation and unfounded beliefs.Study of scientifically unfounded beliefs and other disinformation strategies. Analysis of the impact of socio-cognitive variables and intergroup conflict on adherence to beliefs without empirical basis and other manifestations of disinformation.
- Emergence of social activism.Analysis and modeling of the psychosocial processes and group dynamics involved in the emergence of social activism, as well as in the processes of cohesion, collective participation and strengthening of the social movements.
- Social Psychology and Computational Sciences.Development of interdisciplinary research tools and methods at the confluence of social psychology and computer science for the study of social dynamics of cooperation and conflict.
| Name | Nature of participation | Entity | Description |
|---|---|---|---|
| M FLORENCIA RODRIGO GIMENEZ | Director | Universitat de València | |
| Research team | |||
| SANDRA SIMO TEUFEL | Member | Universitat de València | |
| MARIA ALBERTA CHULVI FERRIOLS | Member | Universitat de València | |
| M ANGELES MOLPECERES PASTOR | Collaborator | Universitat de València | |
| ROSARIO ESPINOSA CALABUIG | Collaborator | Universitat de València | |
| SARA DEGLI-ESPOSTI | Collaborator | Consejo Superior de Investigaciones Científicas | Scientific |
| DAVID ARROYO GUARDEÑO | Collaborator | Consejo Superior de Investigaciones Científicas | Tenured scientist |
| LARA FONTANELLA | Collaborator | Universita Degli Studi Gabriele d'Annunzio Di Chieti-Pescara | Full university professor |
- Higher education
- Univ. Research Institute of Transit and Road Safety (INTRAS)
- SOCIAL ACTIVISM
- STATISTICAL MODELING
- PREJUDICE
- COMPUTATIONAL LINGUISTICS
- DISINFORMATION
