Data & Content Handling

This document provides general information about how Spark handles platform data, uploaded content, and photo review.

Platform data

Spark requires certain information to provide account and social platform functionality.

When a supported Spark feature requires stored information, data may be handled through the backend services used by the platform.

Storage buckets

Spark stores supported uploaded content and platform data in storage buckets.

Buckets provide organized storage for content required by Spark. Stored content may include files associated with supported platform features.

Photo handling

Photos submitted to Spark are subject to human review.

NevetsInc does not use artificial intelligence to perform Spark photo verification. Photo review is performed manually by a human reviewer.

The purpose of manual review is to evaluate submitted photos according to Spark's platform requirements and moderation process.

No AI photo verification

Spark's photo verification process does not rely on AI-based image verification.

A human is involved in reviewing submitted photos. NevetsInc believes users should be clearly informed when an automated system is used for important platform decisions, which is why we clearly state that the current photo review process is human-based.

Authentication data

Spark uses authentication systems to identify signed-in accounts and provide account-specific platform functionality.

Google authentication is supported as part of the Spark sign-in experience.

Platform development

Spark continues to evolve. Data handling practices and technical systems may change when platform features or infrastructure are updated.

This page may be updated to reflect significant changes to Spark and its data handling systems.