"Algorithms are built by people, tuned by companies, fed by our behavior, and constantly changing based on what makes money, what makes sense, and what causes problems. If you spend any time online, you've probably absorbed a handful of algorithm beliefs without even noticing."
"The system is not mad at you; it is indifferent, which can feel worse. Most of the time it's not personal at all, just shifting priorities, new formats, or your audience doing something else that week."
"Platforms reward what holds attention and drives action, and that is not always the same as what is thoughtful, accurate, or creative. A video can be brilliant and still lose to a loud, simple one that hits a reflex."
"Platforms often use multiple ranking and recommendation systems depending on the surface, like the home feed, search, reels, stories, and suggested accounts. That is why something can flop in one place and thrive in another."
Algorithms are commonly misunderstood through extreme perspectives—either as all-powerful forces or insignificant formulas. Reality is more nuanced: algorithms are human-created systems constantly adjusted based on engagement metrics, revenue, and emerging issues. Multiple ranking systems operate simultaneously across different platform surfaces, explaining why content performs differently in various contexts. Algorithm behavior is indifferent rather than personal, driven by attention metrics and user actions rather than merit or quality. Understanding these systems requires recognizing they reward engagement and action over thoughtfulness or accuracy, and that posting frequency without purpose can backfire by training audiences to ignore repetitive content.
Read at TheSavvyGamer
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