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Revealing Young Learners’ Mental Models of Online Sludge

1st November 2021 - 31st March 2022
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Project team
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Principal Investigator

Senior Lecturer, University of Strathclyde

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Co-Investigator

Senior Lecturer, University of Bath

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Co-Investigator

Innovation Fellow, Northumbria University

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Co-Investigator

Lecturer, King's College London

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Co-Investigator

Senior Lecturer, Brunel University

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Co-Investigator

Senior Lecturer, Middlesex University London

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Co-Investigator

Associate Professor, Bournemouth University

Summary

Bad/unethical actors on the Internet increasingly use techniques which we can refer to as “dark patterns”. Such patterns seek to manipulate users to purchase goods or subscriptions, spend more time on a site, or mindlessly accept the harvesting of their personal data. Computer users are often unaware of the manipulative techniques they are likely to encounter as they often operate under the human conscious radar to exert their influence. Young learners are also being targeted by these techniques, and they are especially vulnerable to these tactics as they enter adolescence (before they develop the skills to protect and defend themselves).

Awareness raising interventions forewarn and forearm but work best when they start from a sound understanding of existing mental models. This project aims to reveal young learners’ existing mental models of dark patterns. We will then design an intervention grounded in and informed by these mental models, which will aim to raise awareness and forearm young learners to help them to resist online manipulative techniques.

Outputs

  • Methodology paper: Measuring Young Learners’ Mental Models of Online Dark Patterns (Sludge), March 2022

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