Apr 16, 2025
Algorithms prioritise content with high engagement—likes, comments, shares, or views—because it's assumed to be more interesting or valuable to users.
Meta-AI
The type of content you've previously liked, watched, or interacted with helps platforms predict what you'll want to see in future sessions.
Meta-AI
If you pause longer on certain types of posts, even without liking or commenting, the algorithm interprets that as interest and shows you more of the same.
Meta-AI
Freshness is important. Most platforms push newer posts higher in your feed to keep content relevant and up to date with current trends.
Meta-AI
Content from friends or profiles you interact with regularly is more likely to appear first, assuming you care most about those relationships.
Meta-AI
Whether it’s a video, carousel, or single image, the type of media matters. If you engage more with a specific format, the algorithm adjusts accordingly.
Meta-AI
Posts that relate to ongoing events or popular topics may appear more often, as platforms try to keep users informed and involved in current trends.
Meta-AI
Especially on video-driven platforms, what you’ve watched to completion informs future recommendations more than what you’ve only briefly clicked.
Meta-AI
If you scroll past a post quickly, hide it, or report it, these are negative signals that tell the platform not to show you similar content again.
Meta-AI
Machine learning models constantly update based on your latest activity, refining suggestions with each click, like, or scroll to better match your interests.
Meta-AI
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