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Social Media,
    Social Change
‘Twitter brings you closer’: seeing the little data in the Big
Data up close



                          Farida Vis
                    University of Leicester
                         @flygirltwo
Aftermath of Hurricane Katrina




2005: Flickr
Fitna: The Video Battle




2008: YouTube
Reading the Riots on Twitter




2011: Twitter
READING
THE RIOTS
ON TWITTER
 Rob Procter (University of Manchester)
    Farida Vis (University of Leicester)
Alexander Voss (University of St Andrews)
             [Funded by JISC]


                                            #readingtheriots
data




       data
       unstructured
Aftermath of Hurricane Katrina

2005




       235 posts – 106 individuals
                 (Flickr)
                              Manual collection possible
Fitna: The Video Battle

2008




       1413 videos – 700 individuals
                (YouTube)
                                  + Computer Science
Reading the Riots on Twitter

2011




       2.6 million tweets – 700K individuals
                     (Twitter)
                                   + Lots of Computer Science
Lots of people involved!                    Paul Lewis

READING
                                            Jonathan Richards
                                            Alastair Dant
                                            Katie Loweth

THE RIOTS
                                            Marta Cantijoch
                                            Yana Manyukhina
                                            Mike Thelwall
                                            Steven Gray

ON TWITTER                                  Rachel Gibson
                                            Andy Hudson Smith

 Rob Procter (University of Manchester)
    Farida Vis (University of Leicester)
Alexander Voss (University of St Andrews)
                                            LOTS OF
             [Funded by JISC]
                                            CODERS
READING
THE RIOTS
ON TWITTER   What role did social media play?

 2.6 million riot tweets (donated by
   Twitter)
 700,000 individual accounts
 Importance of empirical evidence

 Initially:
 o Role of Rumours (misinformation)
 o Did incitement take place? [no –
   #riotcleanup]
 o What is the role of different actors on
   Twitter?
READING

             Role of Rumours
THE RIOTS
ON TWITTER
voice of reason tweet



@pigsonthewing: “May I remind clueless/
hysterical #birminghamriots commentators
that children’s Hospital sits face-face with
city’s central police station”
Not ‘just’ pretty data visualisations

On the ground application
(crisis communication – lots of
interest) + crisis mapping

Potential of cross fertilisation
Data journalism + analytical insight ->

Turbo charged #ddj +
open tool access = important
Dick Costolo (Twitter CEO):

‘He created this installation that was at the Tate
museum in London a while back and the installation
was these hundreds of thousands of ceramic hand-
painted sunflower seeds... And as you stood back from
the room it looked like this sea of just stones that were
black stones that were spread across the floor and of
course you couldn’t really tell what they were. But as
you got closer it looks like, you can start to tell ‘ooh it
looks like they’ve stamped out hundreds of thousands
of sunflower seeds and spread them across the floor’.
But as you pick them up you started to realise that they
were all individually shaped and painted differently and
unique and beautiful and distinct in their own right. So
that’s what we want to bring to what we’re building: the
ability to shrink the world and allow everybody to see
each other.’
So that’s what we want to bring to
what we’re building: the ability to
shrink the world and allow
everybody to see each other.’
Twitter data as sunflower seeds?
Turing’s Sunflowers
         +
     BIG DATA
Role of algorithms and BIG DATA


   #littledata in the BIG DATA



CONTEXT CONTEXT CONTEXT!!!
The               The Art
Space             Gallery




        Twitter
The monetary value of the seeds (£3.50)


The monetary value of Twitter data



                  DataSift


                    GNIP

                  Dataminr
Social Media ≠
Social Change  (causality)




Political struggle

     People
Reading the Riots
on Twitter tools
 Coming to you soon

    For free
@flygirltwo

‘Twitter brings you closer’: seeing the little data in the Big
Data up close

  http://futureeverything.org/research/publications/futureeverybody/

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FutureEverything 2012: Social Media, Social Change

  • 1. Social Media, Social Change ‘Twitter brings you closer’: seeing the little data in the Big Data up close Farida Vis University of Leicester @flygirltwo
  • 2. Aftermath of Hurricane Katrina 2005: Flickr
  • 3. Fitna: The Video Battle 2008: YouTube
  • 4. Reading the Riots on Twitter 2011: Twitter
  • 5. READING THE RIOTS ON TWITTER Rob Procter (University of Manchester) Farida Vis (University of Leicester) Alexander Voss (University of St Andrews) [Funded by JISC] #readingtheriots
  • 6. data data unstructured
  • 7. Aftermath of Hurricane Katrina 2005 235 posts – 106 individuals (Flickr) Manual collection possible
  • 8. Fitna: The Video Battle 2008 1413 videos – 700 individuals (YouTube) + Computer Science
  • 9. Reading the Riots on Twitter 2011 2.6 million tweets – 700K individuals (Twitter) + Lots of Computer Science
  • 10. Lots of people involved! Paul Lewis READING Jonathan Richards Alastair Dant Katie Loweth THE RIOTS Marta Cantijoch Yana Manyukhina Mike Thelwall Steven Gray ON TWITTER Rachel Gibson Andy Hudson Smith Rob Procter (University of Manchester) Farida Vis (University of Leicester) Alexander Voss (University of St Andrews) LOTS OF [Funded by JISC] CODERS
  • 11. READING THE RIOTS ON TWITTER What role did social media play? 2.6 million riot tweets (donated by Twitter) 700,000 individual accounts Importance of empirical evidence Initially: o Role of Rumours (misinformation) o Did incitement take place? [no – #riotcleanup] o What is the role of different actors on Twitter?
  • 12. READING Role of Rumours THE RIOTS ON TWITTER
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. voice of reason tweet @pigsonthewing: “May I remind clueless/ hysterical #birminghamriots commentators that children’s Hospital sits face-face with city’s central police station”
  • 18.
  • 19.
  • 20.
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  • 58. Not ‘just’ pretty data visualisations On the ground application (crisis communication – lots of interest) + crisis mapping Potential of cross fertilisation Data journalism + analytical insight -> Turbo charged #ddj + open tool access = important
  • 59. Dick Costolo (Twitter CEO): ‘He created this installation that was at the Tate museum in London a while back and the installation was these hundreds of thousands of ceramic hand- painted sunflower seeds... And as you stood back from the room it looked like this sea of just stones that were black stones that were spread across the floor and of course you couldn’t really tell what they were. But as you got closer it looks like, you can start to tell ‘ooh it looks like they’ve stamped out hundreds of thousands of sunflower seeds and spread them across the floor’. But as you pick them up you started to realise that they were all individually shaped and painted differently and unique and beautiful and distinct in their own right. So that’s what we want to bring to what we’re building: the ability to shrink the world and allow everybody to see each other.’
  • 60. So that’s what we want to bring to what we’re building: the ability to shrink the world and allow everybody to see each other.’
  • 61.
  • 62. Twitter data as sunflower seeds?
  • 63. Turing’s Sunflowers + BIG DATA
  • 64. Role of algorithms and BIG DATA #littledata in the BIG DATA CONTEXT CONTEXT CONTEXT!!!
  • 65. The The Art Space Gallery Twitter
  • 66. The monetary value of the seeds (£3.50) The monetary value of Twitter data DataSift GNIP Dataminr
  • 67. Social Media ≠ Social Change (causality) Political struggle People
  • 68. Reading the Riots on Twitter tools Coming to you soon For free
  • 69. @flygirltwo ‘Twitter brings you closer’: seeing the little data in the Big Data up close http://futureeverything.org/research/publications/futureeverybody/