Why do people comment fyp on tiktok

Content on WhatAnswers is provided "as is" for informational purposes. While we strive for accuracy, we make no guarantees. Content is AI-assisted and should not be used as professional advice.

Last updated: April 8, 2026

Quick Answer: People comment "fyp" on TikTok to signal that they believe a video should appear on the For You Page, TikTok's personalized content feed that drives 90% of user engagement. This practice emerged around 2019 as TikTok's algorithm gained prominence, with users hoping to boost a video's visibility by indicating it's "For You Page"-worthy. Comments like "fyp" serve as engagement metrics that may influence the algorithm, though TikTok's exact formula remains proprietary. The trend reflects user attempts to game the system, as videos with higher engagement often get prioritized in recommendations.

Key Facts

TikTok's For You Page accounts for approximately 90% of all user engagement on the platform
The "fyp" commenting trend gained significant traction starting in 2019
TikTok's algorithm considers over 100 factors when ranking content for the For You Page
Videos with comments receive 13% more views on average than those without comments
TikTok surpassed 1 billion monthly active users in September 2021

Overview

The "fyp" commenting phenomenon on TikTok represents a user-driven attempt to influence the platform's powerful recommendation algorithm. TikTok, launched internationally in 2017 after merging with Musical.ly, revolutionized social media with its For You Page (FYP) - a personalized feed that uses machine learning to serve content tailored to individual preferences. By 2019, as TikTok's user base exploded to over 500 million monthly active users, the FYP became the primary discovery mechanism, accounting for approximately 90% of content consumption. Users quickly recognized that appearing on others' FYP was crucial for virality, leading to the emergence of "fyp" comments as a form of algorithmic signaling. This practice parallels earlier social media behaviors like YouTube's "first" comments or Instagram's engagement pods, but is uniquely tied to TikTok's opaque ranking system that prioritizes watch time, completion rates, and user interactions.

How It Works

When users comment "fyp" on TikTok videos, they're attempting to manipulate the platform's recommendation algorithm through engagement signals. TikTok's algorithm analyzes hundreds of factors including video information (captions, sounds, hashtags), user interactions (likes, shares, comments, watch time), and device/account settings. Comments contribute to the "engagement" metric, which alongside completion rates and shares forms the core of TikTok's content ranking system. While TikTok hasn't confirmed that "fyp" comments directly boost visibility, the platform's documentation states that "all interactions are considered" when determining FYP placement. The algorithm uses collaborative filtering to identify patterns - if many users comment "fyp" on similar content, those videos may receive preferential treatment in recommendations. This creates a feedback loop where users believe commenting "fyp" helps videos, leading to more such comments, which the algorithm may interpret as genuine engagement worth amplifying.

Why It Matters

The "fyp" commenting trend matters because it reveals how users adapt to and attempt to influence algorithmic systems that control digital visibility. With TikTok driving cultural trends and serving as a primary entertainment source for Gen Z, understanding these behaviors helps explain content virality and platform dynamics. For creators, "fyp" comments represent a grassroots strategy to bypass TikTok's opaque algorithms - though their effectiveness remains debated. The phenomenon also highlights the psychological aspect of social media, where users participate in collective rituals (like "fyp" commenting) to feel part of a community working toward common goals. From a platform perspective, such behaviors provide valuable data about user understanding of algorithmic systems, potentially informing future transparency initiatives or algorithm adjustments to maintain authentic engagement.