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What is Link-Busters?

Link-Busters is a highly regarded anti-piracy service trusted by leading publishers, developers, and creative professionals worldwide. Our cutting-edge technology quickly detects unauthorized content online, significantly disrupting the digital piracy environment while bolstering sales protection and optimizing marketing strategies for registered products. With a portfolio boasting over 1 million protected items, the issuance of more than 1 billion DMCA claims, and the capability to address over 150,000 infringing websites, Link-Busters provides a comprehensive solution for digital creators. By utilizing our services, clients see an immediate boost in sales due to enhanced content protection, improved website traffic after the removal of piracy links, and strong defense of their rights as creators. Clients report outstanding progress, with removals exceeding 400% compared to previous years, along with exceptional infringement detection rates in contrast to other service providers. The Link-Busters platform is not only versatile but also scalable, providing essential data that enables businesses of all sizes to tailor their anti-piracy strategies effectively. As the digital landscape continues to change, our relentless dedication to innovation ensures that we lead the way in anti-piracy solutions, constantly adapting to the needs of our clients. With our ongoing efforts, we aim to redefine the standards of content protection in the industry.

What is ClaimBuster?

ClaimBuster acts as the central hub for all fact-checking activities within the IDIR Lab. Initially established to create an AI system that could spot claims needing verification, it has gradually evolved towards the goal of fully automated fact-checking. Although primarily used by journalists, ClaimBuster is accessible to anyone determined to tackle misinformation. Users can easily access our models via an API that requires just the creation of a free API key. The effectiveness of ClaimBuster is greatly enhanced by the involvement of individuals who label data, and we invite you to sign up and assist in this labeling process to improve our model. Moreover, we've released the training code for our machine learning model as open-source, encouraging talented AI engineers to lend their expertise. Our claim-detection model even retweets posts it finds that may need verification, further broadening its real-time application. By joining our efforts, you can significantly contribute to the ongoing fight against misinformation, making a meaningful impact in your community and beyond. Your participation not only aids in refining the model but also empowers others to be vigilant against false information.

Media

Media

Integrations Supported

GitHub
Google Colab
X (Twitter)

Integrations Supported

GitHub
Google Colab
X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Link-Busters

Company Location

Netherlands

Company Website

www.link-busters.com

Company Facts

Organization Name

ClaimBuster

Date Founded

2015

Company Location

United States

Company Website

idir.uta.edu/claimbuster/

Categories and Features

Digital Rights Management

Access Revocation
Audio / Video Protection
Distribution Management
Expiration Management
Image Protection
License Management
Location Control
PDF Protection
Software Application Protection
Subscription Management
Usage Tracking / Analytics
Watermarking

Categories and Features

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