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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 Tisane?

The Tisane API serves as a natural language understanding tool specifically designed for law enforcement and the detection of abusive content. It is adept at identifying various issues, including but not limited to: • Hate speech • Cyberbullying • Criminal behavior • Sexual propositions • Efforts to make unauthorized external contact Furthermore, Tisane not only highlights the problematic areas within the text but can also offer explanations for review or verification purposes. Impressively, the API supports 30 different languages, effectively managing even those that incorporate slang or disguised language. This versatility enhances its utility in diverse linguistic environments.

Media

Media

Integrations Supported

Integrations Supported

Make
Maltego
PubNub
Slack
Zapier
Zendesk Sunshine

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Subscription SaaS or on prem
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Two Hat

Date Founded

2012

Company Location

Canada

Company Website

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

Company Facts

Organization Name

Tisane Labs

Date Founded

2017

Company Location

Singapore

Company Website

tisane.ai

Categories and Features

Content Moderation

Not specified

Categories and Features

Content Moderation

Not specified

Natural Language Processing

Co-Reference Resolution
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Multi-Language
Sentiment Analysis
Text Analytics

Text Mining

Language Detection
Sentiment Analysis
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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