"I Want to Hear Things From the Other Side": Designing for Content Diversity and User Control on Instagram Reels

Abstract

Short video platforms have revolutionised digital media consumption through algorithmic personalisation, but they risk creating filter bubbles and limiting exposure to diverse perspectives. This paper investigates user perceptions of algorithmic personalisation and filter bubbles on Instagram Reels, an underexplored platform with a significant global user base. Using a mixed-methods approach, including surveys, interviews, and prototype evaluations, the study identifies critical user concerns, such as repetitive content, perceived manipulation, and limited content diversity. The research introduces a user-centred prototype with tools for algorithmic transparency and customisation, enabling users to manage their content experience and mitigate filter bubbles. Iterative testing with the System Usability Scale (SUS) and Think Aloud methods demonstratesthe prototype’s effectiveness. By addressing challenges like ideological polarisation, psychological fatigue, and ethical concerns, this study contributes to broader societal discussions and provides actionable insights for designing inclusive digital environments that prioritise user autonomy, transparency, and diverse perspectives.