Algorithmic trends

This study investigates the influence of social media algorithms on brand visibility amongst students of the University of Benin. In today’s digital age, algorithms determine the content users are exposed to, significantly affecting how brands are seen, interacted with, and perceived online. The research focused on key algorithm-related factors such as user preference, content relevance, engagement metrics, and viral content to understand their roles in enhancing or limiting brand visibility. A quantitative research design was adopted, and data was collected through structured questionnaires administered to 398 students.
Statistical tools, including regression analysis, were used to analyze the data. The findings revealed that all four variables significantly influence brand visibility, with user preference and engagement metrics showing the strongest impact. The study concludes that social media algorithms play a critical role in shaping brand exposure and recommends that brands tailor their digital strategies to align with algorithmic trends. This research contributes to the growing body of knowledge on digital marketing and offers insights for brands aiming to improve their online presence among young, tech-savvy audiences.