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Morgan Freeman is dead and other big data stories

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  • http://www.thewrap.com/media/column-post/how-morgan-freeman-death-hoax-rumor-spread-twitter-23318
  • http://firstmonday.org/article/view/4366/3654
  • http://bostonography.com/2013/live-mbta-bus-speeds/
  • Transcript

    • 1. Morgan Freeman is dead and other big data stories Matthew W. Wilson, PhD Harvard University University of Kentucky matthew_wilson@harvard.edu @wilsonism 7 November 2013 McKinsey & Company
    • 2. Morgan Freeman is dead?
    • 3. Morgan Freeman is dead?
    • 4. Morgan Freeman is dead? not fact-checked
    • 5. Morgan Freeman is dead? not fact-checked not peer-reviewed
    • 6. Morgan Freeman is dead? not fact-checked not peer-reviewed
    • 7. @wilsonism 7
    • 8. @wilsonism 8
    • 9. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 9
    • 10. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 10
    • 11. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 11
    • 12. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 12
    • 13. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 13
    • 14. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 14
    • 15. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 15
    • 16. “It is not enough to simply ask, as Anderson has suggested ‘what can science learn from Google?’, but to ask how the harvesters of Big Data might change the meaning of learning, and what new possibilities and new limitations may come with these systems of knowing.” boyd, d., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662-679. doi: 10.1080/1369118X.2012.678878 @wilsonism 16
    • 17. Big data rewires both how we know and the significance of that learning process. It is not enough to simply ask, as Anderson has suggested ‘what can science learn from Google?’, but to ask how the harvesters of Big Data might change the meaning of learning, and what new possibilities and new limitations may come with these systems of knowing. @wilsonism 17
    • 18. Big data rewires both how we know and the significance of that learning process. It is not enough to simply ask, as Anderson has suggested ‘what can science learn from Google?’, but to ask how the harvesters of Big Data might change the meaning of learning, and what new possibilities and new limitations may come with these systems of knowing. Big data marks the establishment of who stands to benefit from this process. @wilsonism 18
    • 19. Big data @wilsonism 19
    • 20. volunteered and not Big data @wilsonism 20
    • 21. ambient and not volunteered and not Big data @wilsonism 21
    • 22. firehose and not ambient and not volunteered and not Big data @wilsonism 22
    • 23. firehose and not ambient and not volunteered and not Big data social media @wilsonism 23
    • 24. firehose and not ambient and not volunteered and not Big data < - - - - - - - - - - - - - - social media @wilsonism 24
    • 25. I argue that we should lean more on the notion that social media are phenomena @wilsonism 25
    • 26. I argue that we should lean more on the notion that social media are phenomena and less on the notion that social media are evidence of phenomena. @wilsonism 26
    • 27. to situate the shifting conditions of knowledge, amid the rush toward big data as I argue that we should lean more on the notion that social media are phenomena and less on the notion that social media are evidence of phenomena. @wilsonism 27
    • 28. to situate the shifting conditions of knowledge, amid the rush toward big data as THE I argue that we should lean more on the notion that social media are phenomena and less on the notion that social media are evidence of phenomena. @wilsonism 28
    • 29. to situate the shifting conditions of knowledge, amid the rush toward big data as THE I argue that we should lean more on the notion NEXT that social media are phenomena and less on the notion that social media are evidence of phenomena. @wilsonism 29
    • 30. to situate the shifting conditions of knowledge, amid the rush toward big data as THE I argue that we should lean more on the notion NEXT that social media are phenomena BIG and less on the notion that social media are evidence of phenomena. @wilsonism 30
    • 31. to situate the shifting conditions of knowledge, amid the rush toward big data as THE I argue that we should lean more on the notion NEXT that social media are phenomena BIG and less on the notion that social media are evidence of phenomena. THING @wilsonism 31
    • 32. to situate the shifting conditions of knowledge, amid the rush toward big data as THE I argue that we should lean more on the notion NEXT that social media are phenomena BIG and less on the notion totes omg that social media are evidence of phenomena. THING @wilsonism 32
    • 33. [ NOTE ] @wilsonism 33
    • 34. [ NOTE ] @wilsonism 34
    • 35. [ NOTE ] @wilsonism 35
    • 36. [ NOTE ] 1 advertising @wilsonism 36
    • 37. [ NOTE ] 1 advertising 2 rare geotags @wilsonism 37
    • 38. [ NOTE ] 1 advertising 2 rare geotags 3 terms/conditions @wilsonism 38
    • 39. [ NOTE ] 1 advertising 2 rare geotags 3 terms/conditions 4 analytics for hire @wilsonism 39
    • 40. 1 advertising 2 rare geotags 3 terms/conditions 4 analytics for hire @wilsonism 40
    • 41. Sponsored Post @wilsonism 41
    • 42. Sponsored Post @wilsonism 42
    • 43. to create opportunities for consumption @wilsonism 43
    • 44. to create opportunities for consumption to add legitimacy to their corporate values @wilsonism 44
    • 45. to create opportunities for consumption to add legitimacy to their corporate values to showcase the hegemony of Twitter as a primary technique for the distribution of thoughts and observations @wilsonism 45
    • 46. directing attention @wilsonism 46
    • 47. directing attention @wilsonism 47
    • 48. investigating directing attentional controls @wilsonism 48
    • 49. @wilsonism 49
    • 50. partiality and commercialization @wilsonism 50
    • 51. partiality and commercialization not mere observers or utilizers but  promoters @wilsonism 51
    • 52. We Are The 1% @wilsonism 52
    • 53. We Are The 1% @wilsonism 53
    • 54. only around one percent of tweets are geotagged We Are The 1% @wilsonism 54
    • 55. only around one percent of tweets are geotagged @wilsonism 55
    • 56. representational? @wilsonism 56
    • 57. represensational @wilsonism 57
    • 58. @wilsonism 58
    • 59. @wilsonism 59
    • 60. Can we recover a representational approach that invites more questioning, more investment in the subject? @wilsonism 60
    • 61. I Agree @wilsonism 61
    • 62. @wilsonism 62
    • 63. @wilsonism 63
    • 64. @wilsonism 64
    • 65. “We call these recommendations shared endorsements…” @wilsonism 65
    • 66. “We call these recommendations shared endorsements…” @wilsonism 66
    • 67. I Agree “We call these recommendations shared endorsements…” @wilsonism 67
    • 68. I Agree “We call these recommendations shared endorsements…” strategic publicity @wilsonism 68
    • 69. I Agree “We call these recommendations shared endorsements…” strategic publicity holding hostage @wilsonism 69
    • 70. I Agree signals a new political economy. “We call these recommendations shared endorsements…” strategic publicity holding hostage @wilsonism 70
    • 71. Analytics™ @wilsonism 71
    • 72. Something one does has become a thing one buys. @wilsonism 72
    • 73. Something one does has become a thing one buys. @wilsonism 73
    • 74. data analysts @wilsonism 74
    • 75. data analysts smart cities @wilsonism 75
    • 76. data analysts smart cities ubiquitous health monitoring systems @wilsonism 76
    • 77. data analysts smart cities ubiquitous health monitoring systems real-time global brand nurturing @wilsonism 77
    • 78. data analysts smart cities ubiquitous health monitoring systems real-time global brand nurturing geointelligence and security @wilsonism 78
    • 79. data analysts smart cities ubiquitous health monitoring systems real-time global brand nurturing geointelligence and security @wilsonism 79
    • 80. Analytics™ enacts a narrowing of what is meant by analysis, just as it places limitations on the types of data that are permissible. @wilsonism 80
    • 81. Analytics™ surging commodification of method @wilsonism 81
    • 82. Analytics™ surging commodification of method to what we pay attention @wilsonism 82
    • 83. Analytics™ surging commodification of method to what we pay attention conditions the mechanics of those attentional systems @wilsonism 83
    • 84. Analytics™ @wilsonism 84
    • 85. *** @wilsonism 85
    • 86. reinforces < > rework @wilsonism 86
    • 87. @wilsonism 87
    • 88. contingencies of knowledge-in-formation @wilsonism 88
    • 89. ‘Nice map, but…’ @wilsonism 89
    • 90. destabilize our neutral vantage point on the utilization of social media as big data @wilsonism 90
    • 91. thank you @wilsonism 91