Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns

Tales Guarisa Gomes, António Correia, Jano de Souza, Daniel Schneider, Daniel Schneider

2025

Abstract

This paper aims to investigate, define, and classify a comprehensive set of Attention-Capture Damaging Patterns (ACDPs) in the context of social media apps and platforms. A new taxonomy is proposed to categorize ACDPs based on their mechanisms and psychological impacts on users. Building on the concept of “dark patterns” and examining how they contribute to social polarization, this study explores the intersection between digital interface design, digital well-being, and polarization. The paper analyzes several examples of ACDPs present in popular platforms such as Instagram, TikTok, WhatsApp, and Facebook, proposing a new categorization based on three main categories. In addition, it discusses alternative design strategies that promote healthier interactions on digital platforms, aiming to mitigate the negative effects of these patterns and promote a more balanced digital environment.

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Paper Citation


in Harvard Style

Gomes T., Correia A., de Souza J. and Schneider D. (2025). Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 622-629. DOI: 10.5220/0013440100003929


in Bibtex Style

@conference{iceis25,
author={Tales Gomes and António Correia and Jano de Souza and Daniel Schneider},
title={Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={622-629},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013440100003929},
isbn={978-989-758-749-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns
SN - 978-989-758-749-8
AU - Gomes T.
AU - Correia A.
AU - de Souza J.
AU - Schneider D.
PY - 2025
SP - 622
EP - 629
DO - 10.5220/0013440100003929
PB - SciTePress