Spam & Fake Reviews

Spammers and fraudsters can easily circumvent rules engines or supervised machine learning solutions with sophisticated attack techniques. DataVisor’s Unsupervised Machine Learning Engine provides the next level of defense against these sophisticated techniques by analyzing the hidden connections between accounts. 


How Spammers Evade Detection

Content scraping for social media abuse

Content Scraping

Attackers simulate real user activity by uploading content scraped from other sites, fooling rules engines, supervised ML, and human reviewers.

mechanical turks for social media abuse

Mechanical Turks

Cyber-criminals employ armies of low-cost, on-demand human labor to bypass captchas and create realistic reviews and spam.

Account incubation for social media abuse

Account Incubation

Fraudsters incubate fake accounts for months with simulated user activity to evade account-age and activity-based rules.

IP obfuscation for social media abuse

IP Obfuscation

Fraudsters utilize proxies, VPNs or cloud-hosting services to hide their tracks from IP blacklists and rules-based systems.

Why UML Can Stop Sophisticated Social Media Abuse

DataVisor’s Unsupervised Machine Learning Engine is uniquely capable of stopping sophisticated, evolving social media abuse because it analyzes all accounts and events at once, uncovering the hidden connections between them. This approach allows DataVisor to detect spam or fake reviews without training data or labels, and even when individual accounts do not appear suspicious when viewed in isolation.

Detect unknown social media abuse

Detect Unknown Threats

Detect new and continually evolving attacks faster, without waiting for training data or labels.

Detect social media abuse with accuracy and coverage

Accuracy and Coverage

Analyze hidden connections between accounts to detect more attacks while lowering false positives.
Detect social media abuse early, before damage is done

Early Detection

Detect malicious accounts at account registration before they can send spam or publish fake reviews.

Learn How DataVisor Stops Fake Reviews & Spam

The DataVisor Platform

Unsupervised Machine Learning Engine

Predict new, unknown threats without labels or training data by analyzing hundreds of millions of accounts and events simultaneously using the industry’s most advanced unsupervised learning technology.

Supervised Machine Learning Engine

Use industry leading supervised machine learning algorithms to augment the unsupervised machine learning detection with client-provided labels.

Automated Rules Engine

Generate and deprecate rules automatically, lowering maintenance costs and improving results explainability.

Global Intelligence Network

Aggregate and analyze the industry’s broadest array of digital fingerprints and signals from billions of users across a variety of industries.

What’s Happening with Spam & Fake Reviews

Ready to enhance your detection with unsupervised machine learning?