Project description
Understanding how young people use social media
Social media can offer social support, but it can also present risks because of the developing brains’ sensitivity to social rewards and susceptibility to misinformation. However, understanding why young people use social media and how it affects them is crucial. Existing limitations hinder our comprehension, including reliance on subjective measures like screen time and a lack of social media trace data. With this in mind, the ERC-funded MediaMinds project aims to address these challenges by developing computational models to grasp cognitive processes and social media interactions. Additionally, it will analyse social media data, conduct new experiments, and use neuroimaging techniques to refine models. The project’s focus lies on critical cognitive processes that intersect with social media, such as social feedback and information processing.
Objective
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.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-COG
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1012WX Amsterdam
Netherlands
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