This document discusses fighting social media manipulation with machine learning. It defines various forms of digital manipulation like trolling, astroturfing, and impersonation. It also discusses how political groups and some countries have weaponized social media. The document then explains how machine learning can be applied to help detect deepfakes and other manipulated media through techniques like supervised and unsupervised learning. It concludes by thanking the reader.

1. Copyright (C) Daniyal Shahrokhian
All Rights Reserved
Fighting Social Media Manipulation
with Machine Learning
Ebba Elhmoud
Machine Learning Team Lead

2. Forms of Digital Manipulation
2
●
Vaccines are not associated with autism:
https://www.ncbi.nlm.nih.gov/pubmed/24814559
●
Scientific evidence does not support the widely held belief that swimming
shortly after eating induces stomach cramps:
https://scholarworks.bgsu.edu/cgi/viewcontent.cgi?article=1144&context
=ijare
●
The conference sought "neither to deny nor prove the Holocaust... [but]
to provide an appropriate scientific atmosphere for scholars to offer their
opinions in freedom about a historical issue:
https://searchworks.stanford.edu/view/8215911

3. What is Social Media Manipulation?

4. Political Campaigns
4
blog.astroscreen.com

5. Weaponization of Social Media
https://www.nytimes.com/2018/10/15/technology/myanm
ar-facebook-genocide.html
https://www.bbc.com/news/world-asia-india-44856910
https://www.nato.int/docu/review/articles/2016/07/25/the
-lisa-case-germany-as-a-target-of-russian-
disinformation/index.html
5

6. Barack Obama on Disinformation
6

7. Facial Manipulation is getting better
7

8. Forms of Digital Manipulation
8
Donara Barojan, Head of Operations at Astroscreen
●
Trolling
●
Astroturfing
●
Commercial bots
●
Political bots
●
Sockpuppet accounts
●
Wikipedia edits
●
Google/YouTube SEO
manipulation
● Inauthentic social media
pages
● Inauthentic social media
groups
● Impersonating users
● Impersonating/imitating
media outlets
● Inauthentic social media
ads

9. Applying
Machine Learning

10. Detecting DeepFakes
“Exposing AI Generated Fake Face Videos by Detecting Eye Blinking”—Li et al.
10

11. Detecting DeepFakes
11

12. Adaptability of Machine Learning Models
12

13. Supervised Learning
13

14. Exploratory Data Analysis
14

15. Unsupervised Learning
15

16. ML in Production
“Hidden Technical Debt in Machine Learning Systems”—Sculley et al.
16

17. Thank you
Copyright (C) Daniyal Shahrokhian
All Rights Reserved