Trive truth discovered We solve the someone is wrong on the - - PowerPoint PPT Presentation

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Trive truth discovered We solve the someone is wrong on the - - PowerPoint PPT Presentation

Aug 30, 2023 244 likes •468 views

Truth Discovery Network Trive truth discovered We solve the someone is wrong on the internet problem. Scalable, Unbiased, Transparent, Crowd Sourced. info@trive.news Page 1 Fake news is a serious problem for

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Trive

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“Truth Discovery Network”

info@trive.news truth discovered …

™

“We solve the “someone is wrong on the internet” problem. Scalable, Unbiased, Transparent, Crowd Sourced.”

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Fake news is a serious problem for consumers and media

Consumers

Acting on wrong information has real costs. Information verification requires more time and attention than most can afford. Media revenue models monetize attention without a provable correlation to truth. There is NO accountability loop for poor media quality. “Fake News” and information challenges all age groups, across every demographic.

Media

Trust and income are at all time lows and dropping. Perception of bias and lack of transparency reduces trust and income. Newsroom Verification costs are high.

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Trive solves problems for Consumers

Spending time and resources appraising news and information for truth value. Media monetization of time and attention without regard to quality of product! Reliance on media models antithetical to a changing environment. Low media trust. Need to trust in a centralized third party.

Trive Solves:

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Trive solves problems for Media

Trive Solves This!

Higher Income – Truth Hive Engine increases trust. Higher Consumer Trust equals Higher Revenue. Cost Effective – Pay as you go Source Verification. Fractional variable costs. NO fixed overhead. Improved Reputation Through – Eliminated perception of bias Total Transparency

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A Global decentralized truth discovery engine Crowd sourced, swarm driven, “Truth Hive” resultant information system. Deriving revenue from media consumption and production. Exponentially scalable, decentralized, transparent, non-biased by design. Game engine based on Nash Equilibrium and antagonistic incentives. Using checks and balances to ensure quality with TriveCoin rewards and counterincentives Anonymously collusion proof, with wallets tied to reputation scores that nullify manipulation. Preserving ALL data as original content, hashed and stashed, in the blockchain, forever… Serving both Industry and Consumer Needs. Win/Win/Win.

Trive Is

  • Creation Verification Distribution Collation Curation Aggregation Preservation -

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  • CEO @ OMP
  • CTO @ Bigstar
  • Sr.Consultant@IBM
  • Columbia MBA
  • Bitcoin since 2013

David Mondrus CEO

  • CryptoCFO@Twitter
  • CPA@Ernst&Young
  • CEO@Prue Leith
  • CFO@X-Plor Group
  • Bitcoin since 2013

Murray Barnetson CFO

  • CEO@CoinOutlet
  • PM@NorthPoint
  • DevMgr@Nielsen
  • US Navy
  • Bitcoin since 2012

Eric Grill CTO

  • Founder@
  • ValdezHeliCamps.com
  • Bitcoin Since 2014

Matt White COO

Executive Team

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David Orban

  • Founder Network

Society Ventures

  • Faculty and Advisor

Singularity University Matt McKibbin

  • Chief of

Decentralization @d10e

  • Advisor to Humaniq

Keith Ng

  • CEO Gametize
  • #7 ranked Gametization

expert worldwide Jeffrey Tucker

  • managing partner

Vellum Capital

  • founder Liberty.me
  • policy adviser

Heartland Institute

  • advisor to Factom
  • Five time author.

Wiley Mathews

  • MD@Blis
  • Founder @ InAppMedia
  • USMobileDir @ OMD

Advisors

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News readers World wide 3 Billion 300 million serviceable 15,000,000 customer at 5% penetration

Market – Total, Serviceable, Obtainable

Monthly Revenue # of sales Price per sale Total Browser Plugin 15000000 $1 $ 15,000,000 Custom Hired Research 150 $25,000 $ 3,750,000 Priority Licensing (annual) 1 $1,000,000 $ 1,000,000 Total $19,750,000

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Competition

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Trive WikiTribune Politifact Snopes Scalable Yes

Yes No No

Transparent Yes

No No No

Hash/Stash Yes

No No No

Crowd Sourced Yes

Yes No No

Decentralized Yes

No No No

Bounties Yes

No No No

Unbiased Yes

Maybe? Partly No

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Investment Opportunity

  • SAFT Round
  • Raising $1m on a $5m pre money valuation
  • First 100K of investment gets tokens on a 10:1 basis
  • Next 400K of investment gets tokens on a 5:1 basis
  • Last 500K of investment gets tokens on a 2:1 basis
  • Equity investors get token pre-sale rights at a 50% discount of final retail price
  • No lockup

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Supporting Documentation TOC

  • Engine
  • Crowds do a better a job
  • It’s not that simple
  • Trive Engine
  • Trive Flow Chart
  • How it Works – Trive Application for Consumers
  • Statistics
  • Trust Itself is Changing
  • Media Distrust is Top 3 Concern for Consumers
  • All Demographics See Fake News as a Problem
  • Confused Consumers Seek Trust in 3rd Parties
  • Trust in Media is at an All Time Low

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Crowds do a better job …

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But it’s not that simple …. (of course)

  • A crowd is smarter when:
  • it isn't defining its own questions,
  • the quality of an answer can be

valuated by a simple result (such as a single numeric value), and

  • the information system which informs

the collective is filtered by a quality control mechanism that relies on individuals to a high degree.

  • In some cases crowds … are smarter

than the smartest people in them.

  • The three conditions for a group to

be intelligent are diversity, independence & decentralization.

  • The best decisions are a product of

disagreement and contest.

  • no need to chase the expert.

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Submits a new story to the marketplace Consumer Stories Marketplace  Contains a list of stories to be researched submitted by clients.  Each story will have a number
  • f tokens associated with it
donated by consumers and truth seekers  Consumers will be able to buy Trive tokens on exchanges or
  • n the marketplace from Trive
  • Co. directly via BTC or FIAT.
 Marketplace will be seeded by Trive Co. at first as a market maker  Stories that are assigned but not completed within the assigned time burn the tokens donated + tokens staked  Bids on a story for with a price of V and a max of P Difference between V and P – C is her profit  If she wins the bid, she  Publishes a the claims sheet, a list of article claims  opens the case by staking the expected # of tokens to be spent based on the number of claims (n)  starts the timer Bids on a story Curator

#

Score Research Researchers (1..n) Review If a Verifier wants to challenge a researchers claim, e.g. it’s false, they can create their own rebuttal reserch and submit to a jury as an exception. Acceptance One of the narratives is selected via a time sensitive poll Poll results are bundled with the package Consumers (1..10) # f(#) # # # # Verifiers (1..n) # f(#) # # # #

Trive Engine

Step 1 Step 2 Step 3  Consumes Trive.news via browser plugin  Plugin is owned, managed and distributed by Trive Co.  Monthly subscription cost of $1/m paid to Trive Co. allocates a # of coins at market preferred pricing.  Plugin intercepts URL’s on supported pages and changes the opacity. Less visible for negative, more visible for positive.  Stories are unique on URL - Anchors  Can submit stories to the marketplace with 0...n tokens.  Tokens accumulate from all participants  Greater # of tokens creates greater incentive for curators to pick up the story.  Top 10 token submitters (by size of donation) when the story is picked up get approval
  • rights. Approval is 1
wallet=1vote no matter how many tokens Consumption Production Exception # # Verifiers (1..n) Jury (Curator & 10 witness) # f(#) # # # # Claims

Trive Co. Trive DAC

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Trive Dac (Wallet in Tray) Final Research file JSON call for each URL on supported page

Media Clients

CNN/Breitbart/Huff Po Ben Swann/Mike Shapiro

Trive Corp Consumers Other Use/Cases

Truth Consumption Trive Storage Module

Trive Browser Plugin

Curator Viewers/Jury Researchers (1..n) Verifiers (1..n)

Marketplace

  • f Stories

Truth Production

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How it Works - Trive Application for Consumers

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  • Browser Plugin
  • User choice:
  • True vs False Scores, story visible
  • Story gets darker as the falsehood is

stronger

  • Story doesn’t appear at all
  • $1/month
  • Can earn Trive tokens by participating in the

flagging of inaccuracies

  • Positive reputation events when participating in

the process

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Trust Itself is Changing

http://www.pewinternet.org/2017/08/10/the-fate-of-online-trust-in-the-next-decade/ http://fortune.com/2016/09/15/trust-in-media/

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Media Distrust is Top 3 Concern for Consumers

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All Demographics See Fake News as a Problem

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Frustrated Consumers Seek Trust in 3rd Parties

84% are confused

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Trust in Media at an All Time Low

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