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What is Symbolic?

Symbolic.ai is a cutting-edge AI platform tailored for newsrooms, publishing divisions, corporate communications teams, and public relations experts, with the goal of optimizing and improving the entire editorial workflow through sophisticated enterprise-level AI functionalities. This platform aids users in effectively dissecting and summarizing large and complex documents, converting various media formats into text, pinpointing relevant research sources, and ensuring coherence across multiple references, thereby guaranteeing that reporting and writing are anchored in verified facts. By integrating the editorial journey from the initial idea to the finished article, Symbolic.ai provides tools that ensure a uniform tone of voice, adherence to shared guidelines and style standards, and rigorous sourcing and accuracy of every statement, bolstered by its all-encompassing fact-checking and content auditing capabilities that can considerably lessen the time required for manual verification. Furthermore, the platform smartly assigns various writing and analytical tasks to the most appropriate AI models to improve quality and variety, encourages teamwork among groups, and speeds up the production timeline, ultimately enabling professionals to produce timely and precise content. In this manner, Symbolic.ai not only simplifies editorial responsibilities but also enhances the overall caliber of media content. With its innovative approach, it has the potential to redefine how teams collaborate and engage with information, ensuring that they remain at the forefront of the ever-evolving media landscape.

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

Integrations Supported

GitHub
Google Colab
X (Twitter)

API Availability

API Availability

Has API

Pricing Information

$49 per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Symbolic

Date Founded

2023

Company Location

United States

Company Website

symbolic.ai/

Company Facts

Organization Name

ClaimBuster

Date Founded

2015

Company Location

United States

Company Website

idir.uta.edu/claimbuster/

Categories and Features

AI Research Tools

Not specified

AI Writing

Not specified

Categories and Features

AI Fact-Checking

Not specified

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