The Collective Stream and the Metadata Cloud   A  June 2010 Review Jodee Rich CEO  PeopleBrowsr
HUMAN SOCIALISATION Swinging through the trees..
HUMAN SOCIALISATION Emerging from the jungle with Language The Collective Stream and Metadata – June 2010
HUMAN SOCIALISATION Thousands of years later we wrote it down
HUMAN SOCIALISATION PCs, the internet, cell phones have come together to enable a vast distributed network of human intell...
HUMAN SOCIALISATION A Persistent Stream of Consciousness..
HUMAN SOCIALISATION Established Infrastructure, the Stream and the Meta Cloud
HUMAN SOCIALISATION Persistent Open Meta Framework displaces established Infrastructure
HUMAN SOCIALISATION Government Intervention
HUMAN SOCIALISATION Collective Consciousness and Industry Disruption – May 2010 Stream Dries up…
HUMAN SOCIALISATION Or WE adapt..
1 YEAR OF TWITTER TRAFFIC: View chart and stats on  analytic.ly Now at 50 Million Tweets/day
BRAND METADATA - 1 MILLION BRAND MENTIONS PER DAY
2010 OPENNESS Little Twitter is dragging the others out of the cave and into the open Openness and Diversity is fundamenta...
OPENNESS Because it is open, the Twitter Stream will become the core transport layer for rich MetaData and Cross Network L...
Social Meta Data Examples Links Sentiment Hashtags Likes ReTweets Influence. Eg Klout Extended Profile Brand Pics Lists Pe...
CASE STUDIES IN MAY 2010 ABC Hotlist Sony Pictures Comcast Entertainment Airline Sentiment eBay Toyota Recall Super Bowl A...
ABC TWEETERS HOTLIST Merge Corporate  Exec profile  metadata
Goal:  Evaluate impact of Traditional Media on the Social Media sphere Build engaged audience Solution:  180 day Historica...
Industry :  Media Entertainment Goals:  Promote a Network TV Premiere Create online Buzz during the Event Performance and ...
Airline Sentiment Metadata merging  Mechanical   Turk  with the Twitter Stream. 95%   accuracy Vs 70-80% automation alone ...
Seek an effective way to measure brand sentiment accurately. The goal is to find a list of influencers speaking in both po...
<ul><li>Analytics:   </li></ul><ul><ul><li>Overlayed  Sentiment ,  Brand  and  Ad  Metadata </li></ul></ul><ul><ul><li>Eff...
SUPER BOWL <ul><li>Results:  </li></ul><ul><ul><li>103,158 Total Mentions </li></ul></ul><ul><ul><li>Sampled 1000 Tweets f...
SUPER BOWL Collective Consciousness and Industry Disruption – May 2010
SUPER BOWL Correlation of Tweets and Ads
UK ELECTION DASHBOARD
<ul><li>Top Bands: </li></ul><ul><li>Mgmt </li></ul><ul><li>Vampire Weekend </li></ul><ul><li>Passion Pit </li></ul><ul><l...
SMS is the benchmark Twitter, Facebook and the other  networks are still small, 150 Million posts/day combined SMS is over...
Mentions, RTs, … Comments, Sharing,… Profiles, Comments, … Status Updates, Comments, … Pictures, Comments, … Connections, ...
THE NEXT TWO YEARS The Conversation Stream becomes the Conversation Cloud A real time historical record Meta Data  Hyperli...
THE NEXT TWO YEARS The Conversation Cloud becomes the Rich Meta Data Cloud Social Meta Data Cloud will become the  core ba...
EXPERIMENTAL APPS What can we build? T2 Contextual Search and Post Artificial Intelligence - AI Cloud powered Q and A
EXPERIMENTAL APPS AI What can we build? In the past the quest for AI has been driven by machine learning projects. They ha...
EXPERIMENTAL APPS AI What can we build? Artificial Intelligence  AI is now Build a database of Questions and Answers from ...
EXPERIMENTAL APPS T2 What can we build? T2 Contextual Search and Post Inline Content T2 HyperLocal Linked to other netwoks
EXPERIMENTAL APPS  T2
EXPERIMENTAL APPS T2
VAST DYNAMIC DATA STORES POWER COLLECTIVE CONSCIOUSNESS
REFERENCES This Deck http://bit.ly/MetaCloud www.Analytic.ly Socialnomics09 PeopleBrowsr Super Bowl Study PeopleBrowsr Top...
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J. Rich How the Meta Cloud is Changing Development Social Developer Summit

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  • J. Rich How the Meta Cloud is Changing Development Social Developer Summit

    1. 1. The Collective Stream and the Metadata Cloud A June 2010 Review Jodee Rich CEO PeopleBrowsr
    2. 2. HUMAN SOCIALISATION Swinging through the trees..
    3. 3. HUMAN SOCIALISATION Emerging from the jungle with Language The Collective Stream and Metadata – June 2010
    4. 4. HUMAN SOCIALISATION Thousands of years later we wrote it down
    5. 5. HUMAN SOCIALISATION PCs, the internet, cell phones have come together to enable a vast distributed network of human intelligence
    6. 6. HUMAN SOCIALISATION A Persistent Stream of Consciousness..
    7. 7. HUMAN SOCIALISATION Established Infrastructure, the Stream and the Meta Cloud
    8. 8. HUMAN SOCIALISATION Persistent Open Meta Framework displaces established Infrastructure
    9. 9. HUMAN SOCIALISATION Government Intervention
    10. 10. HUMAN SOCIALISATION Collective Consciousness and Industry Disruption – May 2010 Stream Dries up…
    11. 11. HUMAN SOCIALISATION Or WE adapt..
    12. 12. 1 YEAR OF TWITTER TRAFFIC: View chart and stats on analytic.ly Now at 50 Million Tweets/day
    13. 13. BRAND METADATA - 1 MILLION BRAND MENTIONS PER DAY
    14. 14. 2010 OPENNESS Little Twitter is dragging the others out of the cave and into the open Openness and Diversity is fundamental to a Meta Data System
    15. 15. OPENNESS Because it is open, the Twitter Stream will become the core transport layer for rich MetaData and Cross Network Links
    16. 16. Social Meta Data Examples Links Sentiment Hashtags Likes ReTweets Influence. Eg Klout Extended Profile Brand Pics Lists Personas. Eg Tlists Connections Relatedness Cross Media Rels
    17. 17. CASE STUDIES IN MAY 2010 ABC Hotlist Sony Pictures Comcast Entertainment Airline Sentiment eBay Toyota Recall Super Bowl Ads UK Elections Music Influencers in New York
    18. 18. ABC TWEETERS HOTLIST Merge Corporate Exec profile metadata
    19. 19. Goal: Evaluate impact of Traditional Media on the Social Media sphere Build engaged audience Solution: 180 day Historical Analysis of Posts overlay on TV Ad spend metadata and other channels Performance and Results Identified type of ads that produce the best audience response 50% fluctuation on engagement based on time of message release
    20. 20. Industry : Media Entertainment Goals: Promote a Network TV Premiere Create online Buzz during the Event Performance and Results N umber 1 Twitter Trending Topic during Premiere Over 17,000 mentions of the #Hashtag during the week of the Premiere
    21. 21. Airline Sentiment Metadata merging Mechanical Turk with the Twitter Stream. 95% accuracy Vs 70-80% automation alone US AIRLINE INDUSTRY STUDY JUNE 2009
    22. 22. Seek an effective way to measure brand sentiment accurately. The goal is to find a list of influencers speaking in both positive and negative terms and engage. Call center to respond to negative sentiment metadata everyday Velocity 10,000 Mentions/day filtered to 180 Meaningful comments
    23. 23. <ul><li>Analytics: </li></ul><ul><ul><li>Overlayed Sentiment , Brand and Ad Metadata </li></ul></ul><ul><ul><li>Effect of Traditional Media on Social Media </li></ul></ul><ul><ul><li>Mechanical Turk to measure accurate Sentiment </li></ul></ul><ul><ul><li>Metrics to measure Success: </li></ul></ul><ul><ul><ul><li>Total Mentions </li></ul></ul></ul><ul><ul><ul><li>Positive Mentions </li></ul></ul></ul>By Volume Mullen and Radian6 SUPER BOWL Collective Consciousness and Industry Disruption – May 2010
    24. 24. SUPER BOWL <ul><li>Results: </li></ul><ul><ul><li>103,158 Total Mentions </li></ul></ul><ul><ul><li>Sampled 1000 Tweets from Every Brand and used Mechanical Turk Human Sentiment to analyze </li></ul></ul><ul><ul><li>Polarized: </li></ul></ul><ul><ul><ul><li>50% Positive </li></ul></ul></ul><ul><ul><ul><li>28% Negative </li></ul></ul></ul><ul><ul><ul><li>18% Neutral </li></ul></ul></ul>Collective Consciousness and Industry Disruption – May 2010
    25. 25. SUPER BOWL Collective Consciousness and Industry Disruption – May 2010
    26. 26. SUPER BOWL Correlation of Tweets and Ads
    27. 27. UK ELECTION DASHBOARD
    28. 28. <ul><li>Top Bands: </li></ul><ul><li>Mgmt </li></ul><ul><li>Vampire Weekend </li></ul><ul><li>Passion Pit </li></ul><ul><li>Anamanaguchi </li></ul><ul><li>Animal Collective </li></ul><ul><li>The Strokes </li></ul><ul><li>Researched 900 bands in NY Extracted mentions of each in the last 6 months Selected most mentioned </li></ul>NEW YORK MUSIC INDUSTRY <ul><li>Top Music Influencers: </li></ul><ul><li>@Jimmyfallon </li></ul><ul><li>@Nytimes </li></ul><ul><li>@TheOnion </li></ul><ul><li>@johnlegend </li></ul><ul><li>@maddow </li></ul><ul><li>@InStyle Influencers – extracted biggest music labels/accounts followers + everyone in NY on Twitter directory + NY users under music/venues Twitter lists </li></ul>Persona Metadata
    29. 29. SMS is the benchmark Twitter, Facebook and the other networks are still small, 150 Million posts/day combined SMS is over 7 Billion/day SCALE..ITS EARLY DAYS
    30. 30. Mentions, RTs, … Comments, Sharing,… Profiles, Comments, … Status Updates, Comments, … Pictures, Comments, … Connections, Comments Blogs Mentions, … Fan Pages SMS CROSS PLATFORM INTEGRATION
    31. 31. THE NEXT TWO YEARS The Conversation Stream becomes the Conversation Cloud A real time historical record Meta Data Hyperlinks become People Hyperlinks
    32. 32. THE NEXT TWO YEARS The Conversation Cloud becomes the Rich Meta Data Cloud Social Meta Data Cloud will become the core backbone for people data
    33. 33. EXPERIMENTAL APPS What can we build? T2 Contextual Search and Post Artificial Intelligence - AI Cloud powered Q and A
    34. 34. EXPERIMENTAL APPS AI What can we build? In the past the quest for AI has been driven by machine learning projects. They have been Training and CPU intensive
    35. 35. EXPERIMENTAL APPS AI What can we build? Artificial Intelligence AI is now Build a database of Questions and Answers from the Twitterverse Crowdsource Questions without Answers – Crowdflower Devote CPU cycles to contextual analysis and NLP Artificial Intelligence AI was about machine learning or CPU cycles For the first time we have a vast open database of Questions and Answers Lets turn the problem upside down..
    36. 36. EXPERIMENTAL APPS T2 What can we build? T2 Contextual Search and Post Inline Content T2 HyperLocal Linked to other netwoks
    37. 37. EXPERIMENTAL APPS T2
    38. 38. EXPERIMENTAL APPS T2
    39. 39. VAST DYNAMIC DATA STORES POWER COLLECTIVE CONSCIOUSNESS
    40. 40. REFERENCES This Deck http://bit.ly/MetaCloud www.Analytic.ly Socialnomics09 PeopleBrowsr Super Bowl Study PeopleBrowsr Top 20 Brands Study http://www. s lides hare .net/peoplebrowsr/the-twitter-metadata-revolution-and-collective-consciousness http://www. nytimes .com/external/readwriteweb/2010/05/17/17readwriteweb-twitter-forefather-leaves-aims-to-disrupt-b-89770.html http://blogs.hbr.org/research/2010/05/why-gallup-when-you-can-tweet.html http://www. briansolis .com/2010/05/report-top-20-brands-on-twitter-april-2010/
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