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What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.

What is CounterSocial?

CounterSocial is committed to effectively addressing misinformation and propaganda. As the only platform that leverages artificial intelligence to quickly assess uploaded content for potential deepfakes, we prioritize the integrity of our network. By partnering with Botsentinel, we bolster user defenses against foreign influence operations, contributing to a more secure online space. Moreover, our optional browser extension alerts users to potentially harmful accounts, adding another layer of transparency. To protect personal data, we offer automatic identity theft alerts that can be activated with a single click. Our COSOGuard feature continuously scans both the open and dark web, ensuring that users are quickly informed if their personal information is at risk due to a breach. Furthermore, our collaboration with Factlayer enables us to provide real-time evaluations of political bias and identify fake news via color-coded links, helping users gauge a website's reliability before proceeding. This holistic strategy not only strengthens user knowledge but also cultivates a more educated and aware community in the digital landscape. Ultimately, CounterSocial strives to create a safer online environment where users can navigate with confidence and security.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
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

UB Media Forensics Lab

Date Founded

2020

Company Location

United States

Company Website

zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Company Facts

Organization Name

CounterSocial

Date Founded

2017

Company Website

counter.social/index.html

Categories and Features

Categories and Features

Social Networking

Activity / News Feed
Advertising Management
Blogs
Data Security
Event Management
Group Management
Media Library
Privacy Options
Real-time Chat
Social Media Integration
Social Media Tagging
User Profiles

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