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MediaMinds

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Computational Mechanisms of Social Media Use in Youth

We have an urgent need to better understand the social media engagement of youth. Social media supports the specific developmental needs of youth, such as those for social connection. However, the increased sensitivity of the deve... ver más

31/10/2029

UvA

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITEIT VAN AMSTERDAM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-11-01

ERC-2023-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

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Duración del proyecto: 59 meses Fecha Inicio: 2024-11-01
Fecha Fin: 2029-10-31

Líder del proyecto

UNIVERSITEIT VAN AMSTERDAM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto We have an urgent need to better understand the social media engagement of youth. Social media supports the specific developmental needs of youth, such as those for social connection. However, the increased sensitivity of the developing brain to social rewards may place youth especially at risk. In addition, youth’s sensitivity to social influence exposes another potential vulnerability, given that not all information is trustworthy. Understandably, there have been widespread fears about the impact of social media on youth. However, currently little is known about what drives youth to engage with social media or how they are impacted by it.Recent meta-analyses and reviews have identified that the field is hampered by several key limitations: 1) an overreliance on subjective and high-level measures, such as screen time, 2) the underuse of social media trace data and 3) lack of ecologically valid experimental tasks, and 4) the absence of a framework for understanding social media engagement. Here I address that challenge by developing novel computational models that provide a theoretical formalization of the complex interactions between the developing cognitive processes and social media affordances. In addition, I will analyse social media trace data, develop novel ecologically valid experimental tasks, and use neuroimaging to further test and refine these formal models. This project will focus on the neurocognitive development of fundamental cognitive processes that interact with the two key affordances that social media platforms provide: 1) social feedback processing and,2) social information processing.The computational framework is grounded in 1) models of neurocognitive development, 2) reinforcement learning models, and 3) Bayesian models of belief updating. Our findings will significantly advance our understanding of the social media engagement of youth on the mechanistic level, and will provide a fruitful framework and toolbox for future studies.

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