Question 1

How does this spam detector work?

Accepted Answer

It scans every comment against 80+ heuristic rules: known scam keywords, suspicious URL patterns, hidden unicode, lookalike characters, mass-mention bait, phone numbers, income claims, and bot-style repetition. Each match adds weight to a 0–100 risk score, and the verdict (Legit / Spam / Scam) is set by score thresholds.

Question 2

Is my comment data sent to a server?

Accepted Answer

No. This tool runs 100% in your browser. Comments never leave your device, so you can paste customer feedback, ad comments, or DMs without privacy concerns.

Question 3

Can I trust the verdict on a single comment?

Accepted Answer

Use it as a signal, not a verdict. A single rule match (e.g. one URL) might still be a legit comment. The score is most reliable when comments hit multiple rules at once — that's when it's clearly automated spam or a scam.

Question 4

What kinds of scams does it catch?

Accepted Answer

Crypto and forex investment scams, fake giveaway / prize bait, OnlyFans link bait, account-recovery / hacking offers, Telegram/WhatsApp redirects, typosquatting (Cyrillic/Latin lookalikes), and zero-width-character cloaking.

Question 5

How do I prevent these comments from appearing?

Accepted Answer

Manually moderating thousands of comments isn't scalable. FeedGuardians automatically hides spam and scam comments on Instagram, Facebook, TikTok, and YouTube the moment they're posted — including pattern-based rules like the ones in this tool, plus AI sentiment and brand-voice context.

Question 6

Why do scam comments hurt my ad ROAS?

Accepted Answer

When prospects see a scam link or "WINNER!!" reply under your ad, your conversion rate craters. Studies show unmoderated comment sections reduce ROAS by up to 48%. Hiding them automatically protects your ad spend.

Kommentar Spam & Betrug Detektor

Stoppen Sie Spam, bevor jemand ihn sieht

FAQ

Generator für versteckte Wörter

KI-Kommentar-Triage

Bulk Sentiment Analyzer