Exorde is a project featured in CoinList Seed Winter 2022 Batch and included in 7 selected projects. You can see here
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Exorde is the first web3 platform for analyzing the distribution of information on the web. Many of us are tired of fakes and misinformation. More often, fakes appear not out of malice, but due to haste, inattention or stupidity, when some incorrectly quote others, each time adding their own details and interpretations to the original. Through a series of such citations, the original information is distorted beyond recognition.
Someone wants to sell a product or drug in a wave of panic. Publications begin about the incredible benefits of this drug against the background of an unproven effect. People are at a loss, they want to believe in something and hope for something, so they grab every opportunity to add confidence to themselves in today and tomorrow. And they buy unverified drug in batches. Sometimes someone dies from it. There are also those who receive commercial benefits from fakes. This is best illustrated by episodes of the recently hackneyed 2011 film Contagion about the respiratory virus pandemic: a blogger (played by Jude Law) published a series of videos for money where he was allegedly ill at first, and then cured of the virus with the help of the homeopathic drug Forsythia. People ran to smash pharmacies in order to get at least one vial of the drug - both the manufacturer of this non-drug and the blogger himself received commercial benefits. All others received only losses.
The main sign of a fake is the unverifiable source, when it is impossible to trace where it came from, who said it and where the primary research, publication, interview, etc. is. If there is a source, or at least it googles for keywords, then you can get to the bottom of the correct interpretation and facts yourself. The Exorde project is developing a source search engine that can be used to find who posted a resource or information first. And having discovered - you can understand for yourself - fake information is in front of us or not.
Many fakes can be recognized quite simply: the text of the article does not correspond at all to its title (clickbaits), certain keywords or phrases are present in the article (for example, “Send this news to your family and friends” or “The government is hiding, but we know the truth”), the news itself was published on a resource that is known as a source of fakes. It's already easy enough. But for more severe cases, artificial intelligence and the mechanism developed by the Exorde project to search for the initial original source will help us.
For more information about the project, please follow the links below:
@ExordeLabs #crypto #web3 #protocol #exorde $EXD
Join to Discord: https://discord.gg/C39qTfqgqN
Reddit: https://reddit.com/r/Exorde
https://exorde.network/
Twitter: https://twitter.com/ExordeLabs
LinkedIn: https://linkedin.com/company/exorde
Medium: https://medium.com/@ExordeLabs
Telegram Chat: https://t.me/exorde