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What is Two Hat?

A specialized neural network has been created to streamline the process of triaging reported content online. For years, social media platforms have relied on users to report abusive conduct, hate speech, and various forms of online harm. These flagged reports are then sent to moderation teams that evaluate each one individually. Many platforms face a deluge of reports on a daily basis, with a considerable number being resolved without any further action taken. However, reports concerning urgent issues—such as suicidal threats, violent incidents, terrorism, or child exploitation—may be at risk of being ignored or addressed too slowly. Such delays can lead to severe legal consequences as well. In accordance with the German law known as NetzDG, social media companies must remove reported hate speech and illegal content within a 24-hour window, or they could face fines of up to 50 million euros. As similar laws regarding reported content are emerging in nations like France, Australia, and the UK, the demand for efficient moderation methods is becoming increasingly paramount. The Predictive Moderation product from Two Hat enables platforms to create a custom AI model that learns from the consistent decisions of their moderation teams, thus improving both the speed and accuracy of responses to urgent reports. This advancement not only bolsters user safety but also aids platforms in effectively navigating the intricate landscape of legal compliance. Furthermore, it represents a significant step forward in the ongoing effort to maintain online communities that are both safe and respectful for all users.

What is SafetyKit?

Streamline your operations and improve precision in Trust and Safety initiatives through automation—no need for engineering skills, machine learning knowledge, or vendor involvement. By clearly defining the acceptable content guidelines for your platform, our AI agents will swiftly and accurately enforce these rules. With our quality monitoring tools, you can ensure that policies are consistently applied and easily replicated. In contrast to traditional machine learning models that incur significant costs for labeling and training, and the lengthy process of training human reviewers, our approach enables you to deploy new enforcement actions immediately, eliminating the requirement for retraining agents or models. Unlike conventional ML classifiers that often lack clarity in their decision-making, SafetyKit provides detailed explanations for each decision made, allowing you to comprehend the rationale behind every action. This level of transparency not only fosters trust but also strengthens your capacity to manage safety more effectively, ultimately leading to a more secure environment for users. The ease of integrating such solutions can significantly reduce operational burdens, allowing teams to focus on strategic initiatives instead.

Media

Media

Integrations Supported

Integrations Supported

Velt

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Online Training

Company Facts

Organization Name

Two Hat

Date Founded

2012

Company Location

Canada

Company Website

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

Company Facts

Organization Name

SafetyKit

Company Website

www.getsafetykit.com

Categories and Features

Content Moderation

Not specified

Categories and Features

Content Moderation

Not specified

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