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A digital cheating
experiment on social
media


                   Contact heaven Arthur KANNAS
                       arthur@heaven.fr @moohai
CONTAINS
KEBAB.
Introduction

a question of numbers,
without revenues.
the good news
And
the bad news
Justin
Timberlake is
not your
friend.
Justin
Timberlake
is
a robot.
MEDIA
                          STRATÉGIE ET
                       PILOTAGE MEDIA /
                         AUTO-PROMO /
                         MONETISATION
                             MOBILE


    IMAGE                                  ÉTUDES
     CHARTE /                               AUDITS /
   BRANDBOOKS /                           BENCHMARKS /
   MOODBOARDS /                            ANALYSES /
      SCENO                                FORMATION




                       CLIENTS
                          CONSEIL ET
                       ACCOMPAGNEMENT


                                          REAL TIME
 CONTENUS                                   MKG
                                           SOCIAL MEDIA
WEB / VIDEO / SOCIAL                      OPTIMIZATION /
 / EVENT / MOBILE                         COMMUNITIES /
                                            MARKETING
                                            D’NFLUENCE


                        PROJETS
                        COORDINATION /
                           SÉLECTION /
                       PRODUCTION WEB /
                         VIDEO / MOBILE
1600
 1400
 1200
 1000
  800
  600
  400
  200
    0




ALMOST 10 MILLIONS OF FANS ON PAGES LAUNCHED OR MANAGED BY HEAVEN.
MOST OF THE TIME WITH THE SUPPORT OF SOME MEDIA CAMPAIGN
ACQUISITION   : LEAD MODEL



CHEATING   : CREATION OF FAKE METRIX
2006
Triggers for choosing to watch a video
       (Yahoo France 11/2011)
Above
  the
figures
Weapon
  of
 mass
reputation
Then come the
  temptation
of the cheater
1. Few case study
before to jump in
at the deep end
dans le bain (avant de se jeter à l’eau).
                                            pour se mettre
To cheat:
act dishonestly or
unfairly in order to
gain an advantage
                   Oxford Dictionary
Fast and easy promotion for artists ?
2008
View counts record ?
               2008
Someone special waiting for you ?
2010
50 000 fake accounts in Egypt
08/2011
117 kfollowers in 24h
21/07/2012
So…
Why not us ?
      jeter à l’eau).
                        le bain (avant de se
2. Mars Kebab.
Doing the job for
fame and fortune
30/7/2012
12/9/2012
Finding the good partners
 1.   Identify the industry players
 2.   Benchmark their offers
 3.   Assess their liability
1. A mass of players
2. True media agencies ?
3. Affiliation ? / Resellers ?
Everything to yield to
the temptation


                         Limited discount




                           Prestigious support




        Targeting
   (zone géographique,
       contenu…)
                              Secured deal
Promotion /
          Submission    Members
Fans’
        toward a wide
order     network of
                         follow
             fans
CRITICAL
INVESTMENT
PROFILING FAKE PROFILES


                          Russian
                          Man
                          13 / 17 years old
Profiles aren't perfectly identical but we
can notice some similarities:
- Incoherent picture, descriptions, username
- Very few tweets, always published at the
  opening of the account (mean : 4 tweets)
- Disproportion of the Followers / Following
  ratio (between 1 per 50 to 1 per 1500)
PROFILING
   FAKE PROFILES


« likes » 212 page likes in
23 minutes

Strange Justin
Timberlake likeness

In 2 days he may have
disappeared

No specific nationality
Thus, how are they « recruited »?
Spoting
                       FOLLOW
interesting   FOLLOW            UNFOLLOW
                       BACK
accounts



targeting:
-   Tags
-   Profile
-   Place
-   …
the social bots



                                   Filling          Access to
Proxies        Subscribtion     formula with         profile
                                                                   Social action
                                                                      scripts
                                     DB



                               Name
                                                                Update….
                               Login / Pw




                              Automatic or human
                              (outsourced ?) task
How to be careful ?
Depending on supplier, fake profiles will have different behaviour
and characteristic, we need to look for anomalies.

   1. Fast and unexplained growth fans/followers/views
   2. Incoherent profile information: name, username,
      descriptions…
   3. Incoherence between the brand ID and content, and its
      followers (eg: foreign fans on a French page)
   4. Incoherence in the social behavior (eg: every likes generated
      at the same moment, percentage of video viewing stopped
      after 5 sec …)



 Toward Automatic solutions
Fakers.statuspeople.com
          To idenfy fake accounts
I. Digital cheating on social media
HOW BIG THE PROBLEM
IS ON FACEBOOK ?
FACEBOOK DECLARES 83 MILLIONS OF
FAKE ACCOUNTS (2012/8).

IF EVERY OF THEM MAKE 200 LIKES…
3. To conclude
CPM tends to zero
CPV tends to zero
Heaven asks for new indicators


pay per view… but what’s next…

Pay per share.
Pay per viewer.
Pay per subscriber.
PAY per pinner. Etc.
Black market prices
Prestation           Relevé de prix    CPM     Unit cost
Pinterest followers 1 000 for $199     $199     $0,199
Google +1            2 500 for $299    $119    $0,1196
Instagram subscribers 2 000 for $199   $99,5   $0,0995
Youtube subscribers 500 for $25        $50      $0,05
Facebook Photo
                     1 000 for $39     $39      $0,039
likes
Fans/Likes facebook 10 000 for $179    $17,9   $0,0179
SoundCloud plays     1 000 for $17     $17      $0,017
Youtube views        1M for $5 495     $5,49   $0,00549
Twitter Followers    50 000 for $149   $2,98   $0,00298
MARS KEBAB EXPERIMENT




999 €
      (or 149 kebabs)
Who benefits from cheating ?
An advertiser that wants to quickly rise its
reputation, for cheap.

A creative agency that wants to prove the
efficiency of its viral concept.

A media agency that wants to increase its
profit or reach its objectives.

An ad-network that wants to secure its
presence in further communication plan
when it does not delivery everything it sold.

A platform?
Conclusions


1. A black market in advance

2. Segmented social media

3. Stay humble and watchful, everyone can be the
victim /recipient of a cheating.
4. SO SORRY,
JUSTIN.

YOU ARE NOT
THAT FAKE.
NO, every one can’t be justin timberlake.
Don’t buy
your fans
to anyone.
tact heaven Arthur KANNAS                MERCI
ur@heaven.fr @moohai        DE VOTRE ATTENTION

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[heaven] Digital cheating on social media 2012

  • 1. A digital cheating experiment on social media Contact heaven Arthur KANNAS arthur@heaven.fr @moohai
  • 3. Introduction a question of numbers, without revenues.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. MEDIA STRATÉGIE ET PILOTAGE MEDIA / AUTO-PROMO / MONETISATION MOBILE IMAGE ÉTUDES CHARTE / AUDITS / BRANDBOOKS / BENCHMARKS / MOODBOARDS / ANALYSES / SCENO FORMATION CLIENTS CONSEIL ET ACCOMPAGNEMENT REAL TIME CONTENUS MKG SOCIAL MEDIA WEB / VIDEO / SOCIAL OPTIMIZATION / / EVENT / MOBILE COMMUNITIES / MARKETING D’NFLUENCE PROJETS COORDINATION / SÉLECTION / PRODUCTION WEB / VIDEO / MOBILE
  • 12.
  • 13.
  • 14.
  • 15. 1600 1400 1200 1000 800 600 400 200 0 ALMOST 10 MILLIONS OF FANS ON PAGES LAUNCHED OR MANAGED BY HEAVEN. MOST OF THE TIME WITH THE SUPPORT OF SOME MEDIA CAMPAIGN
  • 16.
  • 17. ACQUISITION : LEAD MODEL CHEATING : CREATION OF FAKE METRIX
  • 18.
  • 19. 2006
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. Triggers for choosing to watch a video (Yahoo France 11/2011)
  • 29. Weapon of mass reputation
  • 30. Then come the temptation of the cheater
  • 31.
  • 32.
  • 33. 1. Few case study before to jump in at the deep end dans le bain (avant de se jeter à l’eau). pour se mettre
  • 34. To cheat: act dishonestly or unfairly in order to gain an advantage Oxford Dictionary
  • 35. Fast and easy promotion for artists ? 2008
  • 37. Someone special waiting for you ? 2010
  • 38. 50 000 fake accounts in Egypt 08/2011
  • 39. 117 kfollowers in 24h 21/07/2012
  • 40. So… Why not us ? jeter à l’eau). le bain (avant de se
  • 41. 2. Mars Kebab. Doing the job for fame and fortune
  • 42.
  • 43.
  • 44.
  • 45.
  • 48. Finding the good partners 1. Identify the industry players 2. Benchmark their offers 3. Assess their liability
  • 49.
  • 50. 1. A mass of players 2. True media agencies ? 3. Affiliation ? / Resellers ?
  • 51. Everything to yield to the temptation Limited discount Prestigious support Targeting (zone géographique, contenu…) Secured deal
  • 52. Promotion / Submission Members Fans’ toward a wide order network of follow fans
  • 54.
  • 55.
  • 56.
  • 57.
  • 58. PROFILING FAKE PROFILES Russian Man 13 / 17 years old
  • 59.
  • 60. Profiles aren't perfectly identical but we can notice some similarities: - Incoherent picture, descriptions, username - Very few tweets, always published at the opening of the account (mean : 4 tweets) - Disproportion of the Followers / Following ratio (between 1 per 50 to 1 per 1500)
  • 61. PROFILING FAKE PROFILES « likes » 212 page likes in 23 minutes Strange Justin Timberlake likeness In 2 days he may have disappeared No specific nationality
  • 62. Thus, how are they « recruited »?
  • 63. Spoting FOLLOW interesting FOLLOW UNFOLLOW BACK accounts targeting: - Tags - Profile - Place - …
  • 64. the social bots Filling Access to Proxies Subscribtion formula with profile Social action scripts DB Name Update…. Login / Pw Automatic or human (outsourced ?) task
  • 65. How to be careful ? Depending on supplier, fake profiles will have different behaviour and characteristic, we need to look for anomalies. 1. Fast and unexplained growth fans/followers/views 2. Incoherent profile information: name, username, descriptions… 3. Incoherence between the brand ID and content, and its followers (eg: foreign fans on a French page) 4. Incoherence in the social behavior (eg: every likes generated at the same moment, percentage of video viewing stopped after 5 sec …)  Toward Automatic solutions
  • 66. Fakers.statuspeople.com To idenfy fake accounts
  • 67.
  • 68. I. Digital cheating on social media
  • 69.
  • 70. HOW BIG THE PROBLEM IS ON FACEBOOK ? FACEBOOK DECLARES 83 MILLIONS OF FAKE ACCOUNTS (2012/8). IF EVERY OF THEM MAKE 200 LIKES…
  • 72. CPM tends to zero CPV tends to zero
  • 73. Heaven asks for new indicators pay per view… but what’s next… Pay per share. Pay per viewer. Pay per subscriber. PAY per pinner. Etc.
  • 74. Black market prices Prestation Relevé de prix CPM Unit cost Pinterest followers 1 000 for $199 $199 $0,199 Google +1 2 500 for $299 $119 $0,1196 Instagram subscribers 2 000 for $199 $99,5 $0,0995 Youtube subscribers 500 for $25 $50 $0,05 Facebook Photo 1 000 for $39 $39 $0,039 likes Fans/Likes facebook 10 000 for $179 $17,9 $0,0179 SoundCloud plays 1 000 for $17 $17 $0,017 Youtube views 1M for $5 495 $5,49 $0,00549 Twitter Followers 50 000 for $149 $2,98 $0,00298
  • 75. MARS KEBAB EXPERIMENT 999 € (or 149 kebabs)
  • 76. Who benefits from cheating ?
  • 77. An advertiser that wants to quickly rise its reputation, for cheap. A creative agency that wants to prove the efficiency of its viral concept. A media agency that wants to increase its profit or reach its objectives. An ad-network that wants to secure its presence in further communication plan when it does not delivery everything it sold. A platform?
  • 78. Conclusions 1. A black market in advance 2. Segmented social media 3. Stay humble and watchful, everyone can be the victim /recipient of a cheating.
  • 79. 4. SO SORRY, JUSTIN. YOU ARE NOT THAT FAKE.
  • 80.
  • 81. NO, every one can’t be justin timberlake.
  • 83.
  • 84. tact heaven Arthur KANNAS MERCI ur@heaven.fr @moohai DE VOTRE ATTENTION