How algorithms can narrow what a person sees
Launch library · evergreen read
Recommendation systems on many platforms are designed to show content similar to what a person has already engaged with, which can gradually narrow the range of perspectives someone encounters without them ever realising it is actually happening. Over time, this can create a feed that reflects back an increasingly narrow view of the wider world.
This narrowing is not necessarily deliberate or malicious on the part of any single individual, it emerges from systems built to maximise engagement rather than balance across different viewpoints. Still, the effect can be considerable, particularly for someone already feeling isolated or drawn toward a particular grievance about their circumstances.
Awareness of how these systems actually work is itself a useful protective step for anyone spending significant time online. Encouraging varied sources of information, and periodically stepping back to notice what a feed has come to look like, helps counter the gradual drift that algorithms can otherwise encourage unnoticed over months.