Authors:
Tales Guarisa Gomes
1
;
António Correia
2
;
Jano de Souza
3
and
Daniel Schneider
4
;
1
Affiliations:
1
Postgraduate Program in Informatics, PPGI/UFRJ, Rio de Janeiro, Brazil
;
2
Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland
;
3
Systems Engineering and Computer Science Program, PESC/COPPE/UFRJ, Rio de Janeiro, Brazil
;
4
Tércio Pacitti Institute of Computer Applications and Research, NCE/UFRJ, Rio de Janeiro, Brazil
Keyword(s):
Attention-Capture Damaging Patterns, Dark Patterns, Deceptive Design, Digital Well-Being, HCI, Polarization, Social Media, Social Polarization, Survey, Taxonomy.
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.