What algorithmic curation does to news
Launch library · evergreen read
Algorithmic curation refers to the automated systems that decide which news and content a platform shows a particular user, typically based on factors such as past engagement, predicted interest, and overall platform goals rather than a human editor's judgement of importance, even if that is not always obvious.
This shift changes how news reaches audiences, since a story's visibility can depend heavily on how well it performs within an algorithm's criteria, which do not always align neatly with a story's genuine civic importance or accuracy, which matters more than it might first appear, as is often the case in practice.
Understanding that a personalised feed reflects algorithmic choices, not a neutral or complete picture of the day's news, is an important part of using such platforms as one source among several rather than a sole window onto current events, something that becomes clearer with experience, though this can vary between jurisdictions.