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04/08/2017 1 rage against the Suggy (AKA Chris Sumner), Online Privacy Foundation, DEF CON 25 machine 2016
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Page 1: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

04/08/2017

1

rage against the

Suggy (AKA Chris Sumner), Online Privacy Foundation, DEF CON 25

machine

2016

Page 2: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

04/08/2017

2

3.0

2.0

4.0

3.0

2.0

4.0

18 - 34 35 - 54 55 +

Female

Male

Age Group

Ag

reem

en

t w

ith

Noth

ing

to H

ide

Ar

gu

men

t

“if you’ve got nothing to hide, you’ve got nothing to fear”

Leave

Remain

Page 3: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

04/08/2017

3

2013

Predicting Susceptibility to Social Bots on Twitter

Chris Sumner & Dr. Randall Wald

Page 4: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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4

20122011

Using Attitudes to Online Surveillance to

Explore the Efficacy of Psychographic

Marketing in Political Campaigns.

Page 5: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

04/08/2017

5

Page 6: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

04/08/2017

6

Page 7: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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7

1. Why are people so divided?

Page 8: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Page 9: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

04/08/2017

9

Page 10: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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10

HighAuthoritarianismLow

Fr

equ

en

cy

Snowflakes Deplorables

HighAuthoritarianismLow

Fr

equ

en

cy

Page 11: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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11

BLACK

&

WHITE

BLACK

&

WHITE

Vs

Gr

Grey Grey Grey

Grey Grey Grey

Grey Grey Grey

Grey Grey Grey

Grey Grey Grey

Page 12: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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12

Vs

Page 13: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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13

In-Group

Out-Group

Vs

self-reliance

curiosity

independence

to be considerate

obedience

good manners

respect for elders

to be well-behaved

Feldman & Stenner, 1997

Child Rearing Questions

Page 14: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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14

Vsself-reliance

curiosity

independence

to be considerate

obedience

good manners

respect for elders

to be well-behaved

Vs

Vs

Vs

Most important for a child to have?

Study

Method & Results

Page 15: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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15

Surveys over time

A1

A2

B1

B2

March April May

175998

663

576

N = 2,412

February

“You have

nothing to fear,

if you have

nothing to hide”

A1 B1 A2 B2

Page 16: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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16

A1 B1 A2 B2

A1 B1 A2 B2

“It is acceptable that

immigrants and visitors from

potentially dangerous

countries should have to

reveal their social media

account passwords to UK

border agents.”

Page 17: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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17

A1 B1 A2 B2

“The dark net should be shut down”

A1 B1 A2 B2

“Companies should be not be allowed

to develop technologies that prevent

law enforcement from accessing your

online conversations.”

Page 18: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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18

Surveys over time

A1

A2

B1

B2

March April May

175998

663

576

N = 2,412

February

Surveys over time

A1

A2

B1

B2

March April May

175998

663

576

N = 2,412

February

Page 19: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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19

0%

10%

20%

30%

40%

50%

60%

70%

Agree with

"nothing to hide"

Support

wiretapping

Ban Anti

Surveilllance

Tech

Shut down dark net

Pre attack Post attack

Survey A1 (pre) v A2 (post)

*

0%

10%

20%

30%

40%

50%

60%

70%

Agree with "nothing to

hide"

Support wiretapping Support extreme vetting

Pre attack Post attack

Survey B1 (pre) v B2 (post)(B2 conducted 41 days after attack)

Page 20: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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20

Pre attack (A1) Post attack (A2) Post attack (B2)Pre attack (B1)

Nothing to Hide, Nothing to Fear.2.0

1.0

0.5

0

1.5

Au

th

or

ita

ria

nis

m (

Mea

n)

Page 21: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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21

Overlapping DistributionsF

requ

en

cy

Authoritarianism

Disagree with “Nothing to Hide”

Agree with “Nothing to Hide”

2. What Influences Their Views?

Page 22: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Authoritarianism

Probability of

Support for

Surveillance

100%

50%

0%

Baseline Support

HighLow

Probability of

Support for

Surveillance

100%

50%

0%

threat increases [support] among those HIGHER in authoritarianism

AuthoritarianismHighLowFeldman & Stenner 1997,

Feldman 2003

Page 23: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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23

Probability of

Support for

Surveillance

100%

50%

0%

threat increases [support] among those LOWER in authoritarianism

High Perceived Threat

AuthoritarianismHighLow

Hetherington & Suhay 2011

what good are high-minded principles if you are dead?

Source: Hetherington & Weiler

Page 24: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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24

AuthoritarianismHighLow

Probability of

Support for

Surveillance

100%

50%

0%

“Both are partly right”

High Perceived Threat

Anger

Anxiety

Vasilopoulos, Pavlos,

Marcus, & Foucault. 2011

Study

Method & Results

Page 25: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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25

How worried are you that you

personally might become a

victim of a terrorist attack??

Study

Method & Results

A1 B1 A2 B2

Pr

ob

ab

ilit

y

Authoritarianism

Logistic Regression

Page 26: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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26

Hetherington & Suhay((2011)Image source: Hetherington, Marc J., and Jonathan D. Weiler. Authoritarianism and polarization in American politics. Cambridge University Press, 2009.

A1 B1 A2 B2

Pr

ob

ab

ilit

y

Authoritarianism

Nothing to hide, nothing to fear.

Page 27: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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A1 B1 A2 B2

Extreme Vetting

Pr

ob

ab

ilit

y

Authoritarianism

Page 28: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Pr

ob

ab

ilit

y

A1 B1 A2 B2

Shut Down the Dark Net (Agree / Disagree)

Authoritarianism

3. How Effective is Psychographic Targeting?

Page 29: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Age, Sex, Geography, FB Interests

Personality

Age, Sex, Geography, FB Interests

Personality

Page 30: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Age / Sex,

Geography,

FB Interests

Low Authoritarian High Authoritarian

Age / Sex,

Geography,

FB Interests

Low Authoritarian

StudyMethod & Results

Page 31: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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31

Age & Sex

18 - 35 35 To 55 55 and over

Age Group

Au

th

or

ita

ria

nis

m

Female

Male

EU Referendum Vote

Males of any age

Females under 35Males of any age

Females 35 and over

High AuthoritarianLow Authoritarian

Page 32: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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32

Geography

O C E A NRentfrow PJ, Jokela M, Lamb ME (2015) Regional Personality Differences in Great Britain. PLOS ONE 10(3): e0122245. https://doi.org/10.1371/journal.pone.0122245http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0122245

Geography Rentfrow, Jokela, Lamb 2015

Page 33: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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33

O

C

E A N

High

Low

Big 5 & Authoritarianism

Sibley, C. G., & Duckitt, J. (2008). Personality and prejudice:

A meta-analysis and theoretical review. Personality and

Social Psychology Review, 12(3), 248-279.

Big

5

Tr

ait

Sc

or

es

Conscientiousness

Op

en

ness (

R)

High Auth

Low Auth

Page 34: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Op

en

ness (

R)

High Auth

Low Auth

Conscientiousness

Conscientiousness

Op

en

ness (

R)

High Auth

Low Auth

Conscientiousness

Page 35: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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35

Basildon,

Chelmsford

Dudley

Thurrock,

Mansfield,

Market Weighton,

Rotherham,

Swindon

Cambridge,

Liverpool,

Manchester,

Edinburgh,

Hackney

High AuthoritarianLow Authoritarian

Actual

Vote

Correctly classified 78.16%

Predicted

Vote

Page 36: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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PreferenceTool.com

Facebook Interests

Note: We did not use the PreferenceTool.com. See slide notes for further information

Liberalism,

The Guardian

Conservatism,

Mail Online

High AuthoritarianLow Authoritarian

Page 37: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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37

38% 32% 26%

46%

61%L

ev

el o

f

Ag

reem

en

t

% people who agree with “Nothing to Hide, Nothing to Fear”

All

38%32% 26%

46%

61%

Lev

el o

f

Ag

reem

en

t

% people who agree with “Nothing to Hide, Nothing to Fear”

% people who agree with “Nothing to Hide, Nothing to Fear”

All Low auth

(A,S,G)

A,S,G =

Age, Sex &

Geography

Page 38: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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38%32% 26%

46%

61%L

ev

el o

f

Ag

reem

en

t

% people who agree with “Nothing to Hide, Nothing to Fear”

% people who agree with “Nothing to Hide, Nothing to Fear”

All Low auth

(A,S,G)

High auth

(A,S,G)

38%32%

25%

46%

61%

% people who agree with “Nothing to Hide, Nothing to Fear”

*

% people who agree with “Nothing to Hide, Nothing to Fear”

Lev

el o

f

Ag

reem

en

t

All Low auth

(A,S,G)

High auth

(A,S,G)

Low auth

(A,S,G,P)

High auth

(A,S,G,P)

A,S,G =

Age, Sex,

Geography &

Personality

Page 39: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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39

38%32%

25%

46%

61%

***

% people who agree with “Nothing to Hide, Nothing to Fear”

*

% people who agree with “Nothing to Hide, Nothing to Fear”

Lev

el o

f

Ag

reem

en

t

All Low auth

(A,S,G)

High auth

(A,S,G)

Low auth

(A,S,G,P)

High auth

(A,S,G,P)

36%32% 25%

46%

61%

Leve

l of

Agr

eem

ent

***

% people who agree with “Nothing to Hide, Nothing to Fear”

% people who agree with “Nothing to Hide, Nothing to Fear”

All Low auth

(A,S,G)

High auth

(A,S,G)

Low auth

(A,S,G,P)

High auth

(A,S,G,P)

Page 40: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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40

4. How Persuasive Are

Targeted Ads?

Image with permission from : Oscar Bolton Green

“If you know the personality of the people you’re

targeting, you can nuance your messaging to resonate

more effectively with those key audience groups”—Alexander Nix, Cambridge Analytica

Page 41: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Hirsh, Kang & BodenhausenPhone study (2012)

Hirsh, Kang & BodenhausenPhone study (2012)

With XPhone, you’ll

always be where the

excitement is

Page 42: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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42

Hirsh, Kang & BodenhausenPhone study (2012)

Stay safe and

secure with the

Xphone

Matz, Popov, Kosinski, Stillwell

Matz, S., Popov, V., Kosinski, M. & Stillwell, D (2015). Using The Big Five For Customised Advertising On Facebook. Poster session presented at 16th Annual Meeting of the Society for Personality and Social Psychology, Long Beach, CA, USA

Aimed at Introverts Aimed at Extraverts

Page 43: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Study

Method & Results

Image with permission from : Oscar Bolton Green

Page 44: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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High Auth Low AuthTarget Audience

Ads aimed at…

Pro

Anti

High Auth Low AuthTarget Audience

Page 45: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Pro

Anti

High Auth Low AuthTarget Audience

Pro

Anti

High Auth Low AuthTarget Audience

Page 46: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Pro

Anti

High Auth Low AuthTarget Audience

Pro

Anti

High Auth Low AuthTarget Audience

Page 47: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

Self reported levels of

authoritarianism

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

How persuasive people

thought the ad was

Page 48: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

Page 49: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

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0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

0

5

10

15

20

Low Medium High0

5

10

15

20

Low Medium High

Pro

Anti

High Auth Low AuthTarget Audience

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

Facebook Target Audience

Page 51: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

Ratio (%)

Likes & Shares by Reach

High Auth Low AuthDesigned to appeal to

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

Page 52: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

Page 53: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

Page 54: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

0

0.5

1

1.5

2

2.5

Low High0

0.5

1

1.5

2

2.5

Low High

Pro

Anti

High Auth Low AuthDesigned to appeal to

But does persuasion work?

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“Those who have received a postal letter from the interest group which argued

for the benefits of TTIP have considerably more favourable(sic) attitudes

towards this trade deal.”

0 5 10 15 20

Jungherr, Wuttke, Mader, Schoen

Survey

Postal

5. Debunking Propaganda

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A C

B D

A C

B D

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Control Questions

A – Control Condition #1 Group B – Control Condition #2

Rash Got

Worse

Rash Got

Better

Rash Got

Better

Rash Got

Worse

Patients who did

use the new skin

cream

223 75

Patients who did

use the new skin

cream

223 75

Patients who did

NOT use the

new skin cream

107 21

Patients who did

NOT use the new

skin cream

107 21

A – People who used the skin cream

were more likely to get BETTER

than those didn’t

A – People who used the skin cream were

more likely to get BETTER than those

didn’t

B – People who used the skin cream were

more likely to get WORSE than those

didn’t

B – People who used the skin cream

were more likely to get WORSE than

those didn’t

Control Questions

A – Control Condition #1 Group B – Control Condition #2

Rash Got

Worse

Rash Got

Better

Rash Got

Better

Rash Got

Worse

Patients who did

use the new skin

cream

223 75

Patients who did

use the new skin

cream

223 75

Patients who did

NOT use the

new skin cream

107 21

Patients who did

NOT use the new

skin cream

107 21

A – People who used the skin cream

were more likely to get BETTER

than those didn’t

A – People who used the skin cream were

more likely to get BETTER than those

didn’t

B – People who used the skin cream were

more likely to get WORSE than those

didn’t

B – People who used the skin cream

were more likely to get WORSE than

those didn’t

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A C

B D

A C

B D

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20%

60%

0%

40%

EU Referendum VotersSkin Cream

Decreases Increases

RashLeave RemainReferendum Vote

20%

60%

0%

40%

EU Referendum VotersImmigration

Decreases Increases Decreases

Rash CrimeLeave RemainReferendum Vote

Page 60: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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20%

60%

0%

40%

EU Referendum VotersImmigration

Decreases Increases Decreases Increases

Rash CrimeLeave RemainReferendum Vote

Page 61: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Study

Method & Results

Skin Cream

Decrease Increase

20%

40%

60%

0%

Rash

N = 1,574

Agree DisagreeNothing to Hide, Nothing to Fear

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Indicate whether the research shows that online surveillance is likely to increase the terrorist threat or decrease it.

C –Threat Condition #1 Group D –Threat Condition #2

Increase in

Threat

Decrease

in Threat

Decrease

in Threat

Increase in

Threat

Countries with

LEAST pervasive

online

surveillance

223 75

Countries with

LEAST pervasive

online surveillance

223 75

Countries with

MOST pervasive

online

surveillance

107 21

Countries with

MOST pervasive

online surveillance

107 21

A – Countries with the LEAST pervasive online

surveillance were more likely to see a

DECREASE in the terrorist threat

A – Countries with the LEAST pervasive online

surveillance were more likely to see a DECREASE in

the terrorist threat

B – Countries with the LEAST pervasive online

surveillance were more likely to see a INCREASE in

the terrorist threat

B – Countries with the LEAST pervasive online

surveillance were more likely to see an

INCREASE in the terrorist threat

Decreases Increases Increases Increase

20%

40%

60%

0%

Rash

Surveillance increases the threat N = 1,574

Agree DisagreeNothing to Hide, Nothing to Fear

Threat

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20%

40%

60%

0%

Surveillance decreases the threat N = 1,574

Decreases Increases Increases Decreases

Rash Threat

Agree DisagreeNothing to Hide, Nothing to Fear

20%

40%

60%

0%

44 & over N = 1,574

Decreases Increases Increases Decreases

Rash Threat

Agree DisagreeNothing to Hide, Nothing to Fear

Page 64: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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Conclusions & Discussion

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If both sides use this, do the effects equal out?

If both sides use this, do the effects equal out?

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Authoritarianism

Pr

ob

ab

ilit

y

Momentum / Public Mood“Shut Down The Dark Net”

Fear

Page 67: rage against the machine - The Online Privacy Foundation · Predicting Susceptibility to Social Bots on Twitter Chris Sumner & Dr. Randall Wald. 04/08/2017 4 2011 2012 Using Attitudes

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How political ads motivate and persuade voters by appealing to emotionsBrader (2005)

HigherLower Attention

Towards tackling the problem

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The End

[email protected]


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