trive
play

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

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


  1. “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

  2. 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. Page 2

  3. Trive solves problems for Consumers Trive Solves: 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. Page 3

  4. Trive solves problems for Media 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 – Trive Solves This! Eliminated perception of bias Total Transparency Page 4

  5. Trive Is 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. - Creation Verification Distribution Collation Curation Aggregation Preservation - Page 5

  6. Executive Team David Mondrus Murray Barnetson Eric Grill Matt White CEO CFO CTO COO • CEO @ OMP • CryptoCFO@Twitter • CEO@CoinOutlet • Founder@ • CTO @ Bigstar • CPA@Ernst&Young • PM@NorthPoint • ValdezHeliCamps.com • Sr.Consultant@IBM • CEO@Prue Leith • DevMgr@Nielsen • Bitcoin Since 2014 • Columbia MBA • CFO@X-Plor Group • US Navy • Bitcoin since 2013 • Bitcoin since 2013 • Bitcoin since 2012 Page 6

  7. Advisors David Orban Matt McKibbin Keith Ng Jeffrey Tucker Wiley Mathews • Chief of • CEO Gametize • managing partner • MD@Blis • Founder Network Decentralization @d10e Vellum Capital • #7 ranked Gametization • Founder @ InAppMedia Society Ventures • Advisor to Humaniq expert worldwide • founder Liberty.me • USMobileDir @ OMD • Faculty and Advisor • policy adviser Singularity University Heartland Institute • advisor to Factom • Five time author. Page 7

  8. Market – Total, Serviceable, Obtainable News Monthly Revenue readers Price per World wide 3 # of sales Total sale Billion Browser Plugin 15000000 $1 $ 15,000,000 300 million serviceable Custom Hired 150 $25,000 $ 3,750,000 Research Priority Licensing 1 $1,000,000 $ 1,000,000 15,000,000 (annual) customer at 5% penetration Total $19,750,000 Page 8

  9. Competition 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 Page 9

  10. 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 Page 10

  11. 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 3 rd Parties • Trust in Media is at an All Time Low Page 11

  12. Crowds do a better job … Page 12

  13. But it’s not that simple …. (of course) In some cases crowds … are smarter A crowd is smarter when: • • than the smartest people in them. it isn't defining its own questions, • The three conditions for a group to the quality of an answer can be • • be intelligent are diversity , valuated by a simple result (such as a independence & decentralization. single numeric value), and The best decisions are a product of the information system which informs • • disagreement and contest. the collective is filtered by a quality no need to chase the expert. control mechanism that relies on • individuals to a high degree. Page 13

  14. Trive Co. Trive DAC Consumption Production  Bids on a story for with a price of V and a max of P Difference between V and P – C is her profit Trive Engine  If she wins the bid, she  Publishes a the claims sheet, a list of article claims Submits a new story Bids on a story  opens the case by staking the expected # of tokens to be spent based on the to the marketplace number of claims (n) Consumer  starts the timer Curator  Consumes Trive.news via Research Step 1 Stories Marketplace browser plugin Claims  Plugin is owned, managed and # distributed by Trive Co.  Contains a list of stories to be  Monthly subscription cost of # f(#) # researched submitted by $1/m paid to Trive Co. allocates # clients. a # of coins at market preferred #  Each story will have a number Researchers pricing. of tokens associated with it (1..n)  Plugin intercepts URL’s on donated by consumers and supported pages and changes truth seekers If a Verifier wants to the opacity. Less visible for  Consumers will be able to buy challenge a researchers negative, more visible for Trive tokens on exchanges or claim, e.g. it’s false , they positive. Review Step 2 on the marketplace from Trive can create their own  Stories are unique on URL - rebuttal reserch and submit Co. directly via BTC or FIAT. Anchors  Marketplace will be seeded by to a jury as an exception. #  Can submit stories to the # Trive Co. at first as a market # f(#) # marketplace with 0...n tokens. maker #  Tokens accumulate from all  Stories that are assigned but Verifiers # participants Exception (1..n) not completed within the  Greater # of tokens creates Score assigned time burn the tokens greater incentive for curators to donated + tokens staked pick up the story. #  Top 10 token submitters (by # size of donation) when the Jury (Curator & story is picked up get approval Verifiers Acceptance Step 3 10 witness) (1..n) rights. Approval is 1 wallet=1vote no matter how # many tokens # f(#) # # Consumers One of the narratives is # (1..10) selected via a time sensitive poll Poll results are bundled with the package Page 14

  15. Truth Truth Consumption Production Media Clients Consumers CNN/Breitbart/Huff Po Ben Swann/Mike Shapiro Other Use/Cases Trive Browser Plugin Trive Corp Trive Dac (Wallet in Tray) Marketplace of Stories Verifiers Curator (1..n) JSON call for Researchers each URL on (1..n) supported Viewers/Jury page Trive Final Research file Storage Module Page 15

  16. How it Works - Trive Application for Consumers 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 Page 16

  17. Trust Itself is Changing http://www.pewinternet.org/2017/08/10/the-fate-of-online-trust-in-the-next-decade/ Page 17 http://fortune.com/2016/09/15/trust-in-media/

  18. Media Distrust is Top 3 Concern for Consumers Page 18

  19. All Demographics See Fake News as a Problem Page 19

  20. Frustrated Consumers Seek Trust in 3 rd Parties 84% are confused Page 20

  21. Trust in Media at an All Time Low Page 21

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend