Algoritmi social are the ranking systems used by social platforms to decide which posts, videos, ads, or messages users are most likely to see. They score content using signals such as engagement, recency, relationships, and predicted interest. In practice, they shape visibility: a post that fits the ranking model can spread widely, while other content stays hidden.
In cyber security, these algorithms matter because attackers try to game them. Fraudsters and phishing operators may use coordinated likes, comments, bots, or sensational wording to boost reach, then push malicious links, scams, or impersonation pages into more feeds. Defenders also watch ranking behavior to spot artificial amplification, bot-driven campaigns, and abuse of recommendation systems. Understanding social algorithms helps security teams explain why harmful content spreads quickly and why a platform’s visibility rules can become part of the attack surface.