Here’s How Fox Is Using Polygon (MATIC) to Combat Deepfakes

Fox taps the Polygon (MATIC) blockchain in an effort to combat fake news.

Polygon robot looking at a smart electronic contract.
Created by Kornelija Poderskytė from DailyCoin
  • Fox has turned to the Polygon (MATIC) blockchain in its fight against fake news.
  • Fox’s solution, dubbed “Verify,” will allow users to authenticate content from media houses.
  • Beyond content authentication, the firm has tipped the solution to provide greater IP protection to publishers.

Crypto proponents have long argued for the value of blockchain technology beyond facilitating the transfer of digital assets like Bitcoin. As knowledge about blockchain technology grows, several industries are testing this argument. In the latest instance, multinational media company Fox Corporation has tipped the technology to help the fight against fake news, tapping the Polygon (MATIC) chain as its blockchain of choice.

Fox Unveils “Verify” on Polygon (MATIC)

As AI becomes more powerful, malicious actors can create more convincing deepfakes to spread misinformation and discord. To tackle this growing concern, on Tuesday, January 9, Fox Corporation unveiled “Verify,” a now-open source protocol built on the Polygon (MATIC) blockchain to allow users to authenticate content from media houses.

Verify works by signing content registered by publishers on the blockchain. To confirm that content originated from a media house that leverages Verify, users can search the content on apps built on the protocol by these outlets. If the content is authentic, the search will return the history and origin of the content. On the other hand, if the content has been fabricated, the search would not return anything.

Meanwhile, Fox asserts that the value proposition of Verify extends beyond combating deepfakes. According to the firm, it would also allow publishers to protect their IP.

How Verify Could Give Publishers Negotiating Power

Fox contends that Verify provides an avenue for outlets to profit from AI firms’ usage of their content to train AI models. The firm explains that outlets could grant these firms seeking data to teach their AI models usage rights through smart contracts.

The proposition follows a December 2023 lawsuit between The New York Times and tech firms Open AI and Microsoft for copyright infringement. The media outlet accused the AI company and its investor of training their models with its articles without consent, seeking billions of dollars in damages.

Fox asserts that it has inscribed over 80,000 pieces of content on Verify since it launched in closed beta in August 2023 to coincide with the first Fox GOP debate.

On the Flipside 

  • It remains to be seen if and how Fox intends to commercialize Verify.
  • The New York Times had launched a similar product called the News Provenance Project.

Why This Matters 

The potential of deepfakes and fake news to spread misinformation and sow discord in society continues to be a pressing concern as technology evolves. Fox’s Verify proposes a solution to this problem by leveraging the Polygon blockchain.

Read this for more on how other brands are using the Polygon blockchain in novel ways:
Here’s How Starbucks Is Employing Polygon NFTs in Green Push

Find out why anticipation of a STRK airdrop is growing:
Starknet Stirs Airdrop Hopes With Approval of STRK for Fees

This article is for information purposes only and should not be considered trading or investment advice. Nothing herein shall be construed as financial, legal, or tax advice. Trading forex, cryptocurrencies, and CFDs pose a considerable risk of loss.

Author
Okoya David

David Okoya is a crypto news reporter at DailyCoin based in Nigeria. He covers various topics related to the cryptocurrency industry, including exchanges, regulations, and price movements, and strives to bring fresh angles to breaking news. With experience as a freelance crypto news writer, David upholds the highest journalistic standards, telling complete stories and answering lingering questions whenever possible.