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ease
features
design
support

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Description

Safer is designed to combat the viral dissemination of child sexual abuse material on your platform, ensuring enhanced safety for your team, organization, and users alike. This system not only boosts team efficiency and well-being but also fosters collaboration by dismantling silos and tapping into community expertise. Utilizing advanced perceptual hashing and machine learning algorithms, it effectively identifies both known and unknown CSAM. Flagged content can be queued for review through moderation tools specifically developed with employee wellness as a priority. Verified CSAM is reviewed and reported, with content securely archived to meet regulatory standards. Additionally, Safer expands protective measures to detect both known and potentially new or unreported content at the point of upload. The Safer community collaborates to discover more abuse materials, and our APIs are engineered to enhance the collective knowledge surrounding child abuse content by sharing hashes, comparing with industry-standard hashes, and providing input on false positives. This collective effort not only strengthens the fight against abuse but also encourages a proactive approach to safeguarding vulnerable individuals.

Description

A tailored neural network has been developed to efficiently triage reported online content. For an extended period, social media platforms have depended on users to flag abusive behavior, hate speech, and various forms of online harm. These reports are forwarded to moderation teams that assess each one on a case-by-case basis. Many platforms encounter an overwhelming number of reports daily, with a significant portion being resolved without any further action. However, reports that involve urgent matters—such as threats of suicide, violent acts, terrorism, or child exploitation—run the risk of being overlooked or not addressed promptly. This delay can lead to serious legal repercussions as well. Under the German law known as NetzDG, social media platforms are obligated to eliminate reported hate speech and unlawful content within a 24-hour timeframe, or they could incur fines reaching up to 50 million euros. As similar regulations regarding reported content are emerging in countries like France, Australia, and the UK, the need for effective moderation techniques is becoming increasingly critical. With Two Hat’s Predictive Moderation product, platforms have the capability to develop a specialized AI model that learns from the consistent decisions made by their moderation teams, thereby improving response times and accuracy in handling urgent reports. This innovation not only enhances user safety but also helps platforms navigate the complex landscape of legal compliance effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace

Integrations

AWS Marketplace

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Safer

Founded

2019

Country

United States

Website

safer.io

Vendor Details

Company Name

Two Hat

Founded

2012

Country

Canada

Website

www.twohat.com/predictive-moderation-template/

Product Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Product Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

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