Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation

TL;DR

This paper investigates how design choices in social media platforms influence the longevity of content, emphasizing the importance of tailored strategies and advanced evaluation techniques for content lifecycle management.

Contribution

It introduces a novel experimental approach focusing on content itself, analyzing how design decisions affect content lifespan and proposing advanced methods for precise evaluation.

Findings

Small design decisions impact content longevity

Different content stages require tailored strategies

Advanced evaluation techniques improve accuracy

Abstract

The rise in popularity of social media platforms, has resulted in millions of new, content pieces being created every day. This surge in content creation underscores the need to pay attention to our design choices as they can greatly impact how long content remains relevant. In today's landscape where regularly recommending new content is crucial, particularly in the absence of detailed information, a variety of factors such as UI features, algorithms and system settings contribute to shaping the journey of content across the platform. While previous research has focused on how new content affects users' experiences, this study takes a different approach by analyzing these decisions considering the content itself. Through a series of carefully crafted experiments we explore how seemingly small decisions can influence the longevity of content, measured by metrics like Content Progression (CVP) and Content Survival (CSR). We also emphasize the importance of recognizing the stages that content goes through underscoring the need to tailor strategies for each stage as a one size fits all approach may not be effective. Additionally we argue for a departure from traditional experimental setups in the study of content lifecycles, to avoid potential misunderstandings while proposing advanced techniques, to achieve greater precision and accuracy in the evaluation process.