Morgan Freeman is dead
and other big data stories
Matthew W. Wilson, PhD
Harvard University
University of Kentucky
matthew...
Morgan Freeman is dead?
Morgan Freeman is dead?
Morgan Freeman is dead?
not fact-checked
Morgan Freeman is dead?
not fact-checked
not peer-reviewed
Morgan Freeman is dead?
not fact-checked
not peer-reviewed
@wilsonism

7
@wilsonism

8
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

9
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

10
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

11
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

12
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

13
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

14
The potential of these activities lies in their
capacities to focus and extend attention.

@wilsonism

15
“It is not enough to simply ask, as Anderson has
suggested ‘what can science learn from Google?’,
but to ask how the harve...
Big data rewires both how we know and
the significance of that learning process.
It is not enough to simply ask, as Anders...
Big data rewires both how we know and
the significance of that learning process.
It is not enough to simply ask, as Anders...
Big data

@wilsonism

19
volunteered and not

Big data

@wilsonism

20
ambient and not
volunteered and not

Big data

@wilsonism

21
firehose and not
ambient and not
volunteered and not

Big data

@wilsonism

22
firehose and not
ambient and not
volunteered and not

Big data

social media

@wilsonism

23
firehose and not
ambient and not
volunteered and not

Big data < - - - - - - - - - - - - - - social media

@wilsonism

24
I argue that we should lean more on the notion

that social media are phenomena

@wilsonism

25
I argue that we should lean more on the notion

that social media are phenomena
and less on the notion
that social media a...
to situate the shifting conditions of knowledge,
amid the rush toward big data as
I argue that we should lean more on the ...
to situate the shifting conditions of knowledge,
amid the rush toward big data as

THE

I argue that we should lean more o...
to situate the shifting conditions of knowledge,
amid the rush toward big data as

THE

I argue that we should lean more o...
to situate the shifting conditions of knowledge,
amid the rush toward big data as

THE

I argue that we should lean more o...
to situate the shifting conditions of knowledge,
amid the rush toward big data as

THE

I argue that we should lean more o...
to situate the shifting conditions of knowledge,
amid the rush toward big data as

THE

I argue that we should lean more o...
[ NOTE ]

@wilsonism

33
[ NOTE ]

@wilsonism

34
[ NOTE ]

@wilsonism

35
[ NOTE ]

1 advertising

@wilsonism

36
[ NOTE ]

1 advertising
2 rare geotags

@wilsonism

37
[ NOTE ]

1 advertising
2 rare geotags
3 terms/conditions

@wilsonism

38
[ NOTE ]

1 advertising
2 rare geotags
3 terms/conditions
4 analytics for hire

@wilsonism

39
1 advertising
2 rare geotags
3 terms/conditions
4 analytics for hire

@wilsonism

40
Sponsored Post

@wilsonism

41
Sponsored Post

@wilsonism

42
to create opportunities for consumption

@wilsonism

43
to create opportunities for consumption
to add legitimacy to their corporate values

@wilsonism

44
to create opportunities for consumption
to add legitimacy to their corporate values
to showcase the hegemony of Twitter
as...
directing attention

@wilsonism

46
directing attention

@wilsonism

47
investigating
directing attentional
controls

@wilsonism

48
@wilsonism

49
partiality and commercialization

@wilsonism

50
partiality and commercialization

not mere observers or utilizers
but  promoters

@wilsonism

51
We Are The 1%

@wilsonism

52
We Are The 1%

@wilsonism

53
only around one percent
of tweets are geotagged
We Are The 1%

@wilsonism

54
only around one percent
of tweets are geotagged

@wilsonism

55
representational?

@wilsonism

56
represensational

@wilsonism

57
@wilsonism

58
@wilsonism

59
Can we recover a representational
approach that invites more questioning,
more investment in the subject?

@wilsonism

60
I Agree

@wilsonism

61
@wilsonism

62
@wilsonism

63
@wilsonism

64
“We call these recommendations shared endorsements…”

@wilsonism

65
“We call these recommendations shared endorsements…”

@wilsonism

66
I Agree
“We call these recommendations shared endorsements…”

@wilsonism

67
I Agree
“We call these recommendations shared endorsements…”

strategic publicity

@wilsonism

68
I Agree
“We call these recommendations shared endorsements…”

strategic publicity
holding hostage

@wilsonism

69
I Agree

signals a new political economy.

“We call these recommendations shared endorsements…”

strategic publicity
holdi...
Analytics™

@wilsonism

71
Something one does has
become a thing one buys.

@wilsonism

72
Something one does has
become a thing one buys.

@wilsonism

73
data analysts

@wilsonism

74
data analysts
smart cities

@wilsonism

75
data analysts
smart cities
ubiquitous health monitoring systems

@wilsonism

76
data analysts
smart cities
ubiquitous health monitoring systems
real-time global brand nurturing

@wilsonism

77
data analysts
smart cities
ubiquitous health monitoring systems
real-time global brand nurturing
geointelligence and secur...
data analysts
smart cities
ubiquitous health monitoring systems
real-time global brand nurturing
geointelligence and secur...
Analytics™ enacts a narrowing
of what is meant by analysis,
just as it places limitations on the
types of data that are pe...
Analytics™
surging commodification of method

@wilsonism

81
Analytics™
surging commodification of method
to what we pay attention

@wilsonism

82
Analytics™
surging commodification of method
to what we pay attention
conditions the mechanics
of those attentional system...
Analytics™

@wilsonism

84
***

@wilsonism

85
reinforces < > rework

@wilsonism

86
@wilsonism

87
contingencies of
knowledge-in-formation

@wilsonism

88
‘Nice map, but…’

@wilsonism

89
destabilize our neutral vantage point
on the utilization of social media as big data

@wilsonism

90
thank you

@wilsonism

91
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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/
  • Morgan Freeman is dead and other big data stories

    1. 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. 2. Morgan Freeman is dead?
    3. 3. Morgan Freeman is dead?
    4. 4. Morgan Freeman is dead? not fact-checked
    5. 5. Morgan Freeman is dead? not fact-checked not peer-reviewed
    6. 6. Morgan Freeman is dead? not fact-checked not peer-reviewed
    7. 7. @wilsonism 7
    8. 8. @wilsonism 8
    9. 9. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 9
    10. 10. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 10
    11. 11. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 11
    12. 12. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 12
    13. 13. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 13
    14. 14. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 14
    15. 15. The potential of these activities lies in their capacities to focus and extend attention. @wilsonism 15
    16. 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. 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. 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. 19. Big data @wilsonism 19
    20. 20. volunteered and not Big data @wilsonism 20
    21. 21. ambient and not volunteered and not Big data @wilsonism 21
    22. 22. firehose and not ambient and not volunteered and not Big data @wilsonism 22
    23. 23. firehose and not ambient and not volunteered and not Big data social media @wilsonism 23
    24. 24. firehose and not ambient and not volunteered and not Big data < - - - - - - - - - - - - - - social media @wilsonism 24
    25. 25. I argue that we should lean more on the notion that social media are phenomena @wilsonism 25
    26. 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. 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. 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. 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. 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. 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. 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. 33. [ NOTE ] @wilsonism 33
    34. 34. [ NOTE ] @wilsonism 34
    35. 35. [ NOTE ] @wilsonism 35
    36. 36. [ NOTE ] 1 advertising @wilsonism 36
    37. 37. [ NOTE ] 1 advertising 2 rare geotags @wilsonism 37
    38. 38. [ NOTE ] 1 advertising 2 rare geotags 3 terms/conditions @wilsonism 38
    39. 39. [ NOTE ] 1 advertising 2 rare geotags 3 terms/conditions 4 analytics for hire @wilsonism 39
    40. 40. 1 advertising 2 rare geotags 3 terms/conditions 4 analytics for hire @wilsonism 40
    41. 41. Sponsored Post @wilsonism 41
    42. 42. Sponsored Post @wilsonism 42
    43. 43. to create opportunities for consumption @wilsonism 43
    44. 44. to create opportunities for consumption to add legitimacy to their corporate values @wilsonism 44
    45. 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. 46. directing attention @wilsonism 46
    47. 47. directing attention @wilsonism 47
    48. 48. investigating directing attentional controls @wilsonism 48
    49. 49. @wilsonism 49
    50. 50. partiality and commercialization @wilsonism 50
    51. 51. partiality and commercialization not mere observers or utilizers but  promoters @wilsonism 51
    52. 52. We Are The 1% @wilsonism 52
    53. 53. We Are The 1% @wilsonism 53
    54. 54. only around one percent of tweets are geotagged We Are The 1% @wilsonism 54
    55. 55. only around one percent of tweets are geotagged @wilsonism 55
    56. 56. representational? @wilsonism 56
    57. 57. represensational @wilsonism 57
    58. 58. @wilsonism 58
    59. 59. @wilsonism 59
    60. 60. Can we recover a representational approach that invites more questioning, more investment in the subject? @wilsonism 60
    61. 61. I Agree @wilsonism 61
    62. 62. @wilsonism 62
    63. 63. @wilsonism 63
    64. 64. @wilsonism 64
    65. 65. “We call these recommendations shared endorsements…” @wilsonism 65
    66. 66. “We call these recommendations shared endorsements…” @wilsonism 66
    67. 67. I Agree “We call these recommendations shared endorsements…” @wilsonism 67
    68. 68. I Agree “We call these recommendations shared endorsements…” strategic publicity @wilsonism 68
    69. 69. I Agree “We call these recommendations shared endorsements…” strategic publicity holding hostage @wilsonism 69
    70. 70. I Agree signals a new political economy. “We call these recommendations shared endorsements…” strategic publicity holding hostage @wilsonism 70
    71. 71. Analytics™ @wilsonism 71
    72. 72. Something one does has become a thing one buys. @wilsonism 72
    73. 73. Something one does has become a thing one buys. @wilsonism 73
    74. 74. data analysts @wilsonism 74
    75. 75. data analysts smart cities @wilsonism 75
    76. 76. data analysts smart cities ubiquitous health monitoring systems @wilsonism 76
    77. 77. data analysts smart cities ubiquitous health monitoring systems real-time global brand nurturing @wilsonism 77
    78. 78. data analysts smart cities ubiquitous health monitoring systems real-time global brand nurturing geointelligence and security @wilsonism 78
    79. 79. data analysts smart cities ubiquitous health monitoring systems real-time global brand nurturing geointelligence and security @wilsonism 79
    80. 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. 81. Analytics™ surging commodification of method @wilsonism 81
    82. 82. Analytics™ surging commodification of method to what we pay attention @wilsonism 82
    83. 83. Analytics™ surging commodification of method to what we pay attention conditions the mechanics of those attentional systems @wilsonism 83
    84. 84. Analytics™ @wilsonism 84
    85. 85. *** @wilsonism 85
    86. 86. reinforces < > rework @wilsonism 86
    87. 87. @wilsonism 87
    88. 88. contingencies of knowledge-in-formation @wilsonism 88
    89. 89. ‘Nice map, but…’ @wilsonism 89
    90. 90. destabilize our neutral vantage point on the utilization of social media as big data @wilsonism 90
    91. 91. thank you @wilsonism 91

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