The photo-sharing social media service Instagram uses an algorithm to decide which posts appear on users' feed. This is different from how Facebook, the company that owns the social network, operates, in that the most recent posts are often the most visible. To prove that it is confident in its algorithm, Instagram decided to show it off.
As Mashable notes, Instagram got rid of the old way of showing posts in chronological order two years ago in favor of the algorithm that it’s using now. Ever since it did so, however, posts on feeds have been all over the place.
There didn’t seem to be any reason for why posts were shared, making them seem as if they were chosen at random. No one really knew how the algorithm was picking out these posts and deciding to put them up on users’ feeds. Until now, anyway.
During a recent tour of its headquarters located in San Francisco, the social media company provided reporters with the details that went into its algorithm’s decisions in showing posts. Apparently, they include interest, relationship and how recent a post was put up.
With regards to interest, it’s apparently a factor that takes into account users’ probable interest in a post, 9to5Mac reports. By looking at past behavior and preferences, the algorithm decides whether or not users would like to see the same photos of food that their friends share.
Speaking of which, the closeness between users is taken into account via the relationship factor. That is to say, posts depend on the bond that people share, with stronger ties leading to higher prioritization in showing posts.
“Recency,” or how recent the content was posted, is straightforward as a factor for consideration. Basically, if the post was shared over a week ago, it’s less likely to be shared compared to those posted today.


HP Q2 2026 Earnings Beat Expectations Despite Memory Chip Pressure
Samsung to Invest $1.5 Billion in Vietnam Semiconductor Testing Plant by 2027
Snowflake Stock Soars 30% After Q1 Earnings Beat and Major AWS AI Partnership
SpaceX Starship V3 Test Flight Boosts IPO Momentum Ahead of Historic Market Debut
Meta Subscription Push Could Add Billions in Recurring Revenue, Says Rosenblatt
Autodesk Beats Q1 Estimates, Acquires MaintainX for $3.6 Billion
SK Hynix Joins $1 Trillion Club as AI Chip Demand Fuels Stock Surge
Morgan Stanley Names Top AI Security and Data Center Stocks for 2026
Huawei Chip Breakthrough Sparks Rally in Chinese Semiconductor Stocks
Dell Raises 2027 Revenue Forecast as AI Server Demand Drives Record Quarterly Results
Marvell Stock Rises After Record Q1 FY2027 Earnings Fueled by AI Demand
Macquarie Names Five Taiwan AI Stocks Set to Benefit From Data Center Growth in 2026
SoftBank to Invest €75 Billion in France AI Data Center Expansion by 2031
SpaceX IPO Hype Raises Questions as Many Major Stock Debuts Underperform Market
Mega IPOs Like SpaceX and OpenAI Could Reshape S&P 500 and Nasdaq 100 Portfolios in 2026
Salesforce Q1 FY2027 Earnings Beat Expectations Despite Soft Q2 Revenue Outlook
PDG Explores $1 Billion Sale of China Data Center Assets 



