on WhatsApp Kiran Garimella , Dean Eckles 1 WhatsApp Peer to peer - - PowerPoint PPT Presentation

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on WhatsApp Kiran Garimella , Dean Eckles 1 WhatsApp Peer to peer - - PowerPoint PPT Presentation

Image based Misinformation on WhatsApp Kiran Garimella , Dean Eckles 1 WhatsApp Peer to peer messaging platform 1.5 Billion monthly active users Multimedia heavy roughly 50% is images and video End-to-end encrypted Image


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SLIDE 1

Image based Misinformation

  • n WhatsApp

Kiran Garimella, Dean Eckles

1

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SLIDE 2

WhatsApp

  • Peer to peer messaging platform
  • 1.5 Billion monthly active users
  • Multimedia heavy – roughly 50% is images and video
  • End-to-end encrypted
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SLIDE 3

Image based misinformation

  • Much more powerful!
  • Almost no large scale studies.
  • Closed platforms are important!
  • Sense of intimacy and trust
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SLIDE 4

Dataset

  • WhatsApp
  • Over 6,000 public political groups from India
  • ~2 million images
  • Over 6 months starting December 2018
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SLIDE 5

Fact checked images

  • Fact checking websites
  • ~450 images
  • Manual annotation
  • 3 journalists
  • ~400 images
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When were these images shared?

100 200 300 400 500 600 700 800 900

07/01/19 14/01/19 21/01/19 28/01/19 04/02/19 11/02/19 18/02/19 25/02/19 04/03/19 11/03/19 18/03/19 25/03/19 01/04/19 08/04/19 15/04/19 22/04/19 29/04/19 06/05/19 13/05/19 20/05/19 27/05/19 03/06/19 10/06/19

Number of times fake images were shared

Mostly during the India-Pakistan conflict!

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Primary Categories

  • Images taken out of context (~30%)
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Out of context images

“Cheap fakes"

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Primary Categories

  • Images taken out of context (~30%)
  • Photoshopping (~20%)
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Photoshopped images

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Primary Categories

  • Images taken out of context (~30%)
  • Photoshopping (~20%)
  • False statistics and quotes (~10%)
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Fake Quotes/Stats

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Primary Categories

  • Images taken out of context (~30%)
  • Photoshopping (~20%)
  • False statistics and quotes (~10%)
  • Other
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Misinformation topics

  • Primarily political
  • Memes/Nationalism/Religion
  • Rumors/Urban legends
  • Feel good stuff
  • Health (roughly 15%!)
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Why is this important?

  • Automated fact checking
  • Out of context images
  • Photoshopped
  • Fake quotes/stats
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Why are they sharing these?

  • Caring about others
  • Low cost of forwarding (much easier than fact checking)
  • Lack of awareness
  • Personal belief in these networks
  • Malicious intent? (hard to identify)
  • Prejudice and ideology rather than out of ignorance or

digital illiteracy.

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SLIDE 17

What could be done?

  • Only central authorities can make a difference!
  • Need to have a common repository
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Summary

  • Categorized image misinformation
  • Public groups
  • The same categorization generalizes across countries and

platforms

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Thank you!

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@gvrkiran garimell@mit.edu