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Description
CounterSocial is dedicated to combating misinformation and propaganda effectively. As the sole network utilizing artificial intelligence to instantly evaluate uploaded materials for the likelihood of deepfakes, we are committed to maintaining a trustworthy platform. Our collaboration with Botsentinel enhances user protection against foreign influence campaigns, ensuring a safer online environment. Additionally, users can opt for a browser extension that provides transparency regarding potentially problematic accounts that may arise. To further safeguard personal information, CounterSocial has implemented automatic identity theft alerts that are available with just one click. Our COSOGuard feature tirelessly monitors both the open and dark web around the clock. If your personal information is compromised in a breach, you will be promptly notified! Moreover, our partnership with Factlayer allows us to offer real-time, inline assessments of political bias and fake news recognition through color-coded links, informing users of a website's credibility before they navigate away. This comprehensive approach not only empowers our users but also fosters a more informed community.
Description
Intel has developed the FakeCatcher deepfake detection technology, which evaluates the “blood flow” in video pixels to quickly assess the authenticity of a video in mere milliseconds. This system is seamlessly integrated into editing software widely used by content creators and broadcasters, allowing for effective detection of manipulated content during the editing process. Furthermore, it serves a critical role in screening user-generated content, ensuring that authenticity checks are part of the upload process. By providing a universally accessible platform for deepfake detection, it empowers individuals and organizations alike to verify the legitimacy of videos with ease. Deepfakes represent synthetic media that distort reality, presenting actors and actions that are fabricated. While many deep learning-based detection systems examine raw data to identify inconsistencies and flaws, FakeCatcher takes a different approach by searching for genuine indicators of authenticity within real footage, focusing on the minuscule evidence of human traits—such as the subtle variations in pixel color caused by blood circulation. When the heart pumps, the color of our veins shifts, creating the unique data that FakeCatcher utilizes to distinguish between real and manipulated videos. This innovative detection method signifies a significant leap forward in the fight against deepfake technology.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CounterSocial
Founded
2017
Website
counter.social/index.html
Vendor Details
Company Name
Intel
Country
United States
Website
www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl
Product 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