Dr. PK gave an ACM Distinguished Speaker talk at IIT Guwahati.

1. Credibility,
Identity
Resolution,
Privacy,
and
Policing
on
Online
Social
Media
IIT
Guwahati
Sept
26,
2016
Ponnurangam
Kumaraguru
(“PK”)
Associate
Professor
ACM
Distinguished
Speaker
fb/ponnurangam.kumaraguru,
@ponguru

2. Who
am
I?
– Associate
Professor,
IIIT-­‐Delhi
– Ph.D.
from
School
of
Computer
Science,
Carnegie
Mellon
University
(CMU)
– Research
interests
-Social
Computing,
Computational
Social
Science,
Complex
Networks
pertaining
to
Human
Behavior,
specifically
in
the
context
of
Security
&
Privacy
– Co-­‐ordinate
and
manage
Precog,
precog.iiitd.edu.in
– ACM
Distinguished
Speaker
2

3. https://www.youtube.com/channel/UCHWDvG
Dh4QjWbV79bM2neSg
3

4. 4
What
we
dabble
with!

5. Non-­‐trustworthy
Content
FAKE
5
$
RUMORS

6. Methodology
6

7. Training
Data
– 500
Tweets
per
event
– Used
CrowdFlower
7
Event Tweets Users
Boston
Marathon
Blasts
(2013) 7,888,374 3,677,531
Typhoon Haiyan /
Yolanda
(2013) 671,918 368,269
Cyclone
Phailin (2013) 76,136 34,776
Washington
Navy yard shootings (2013) 484,609 257,682
Polar
vortex cold wave (2014) 143,959 116,141
Oklahoma
Tornadoes (2013) 809,154 542,049
Total
10,074,150 4,996,448

8. Credibility
Modeling
8
Feature
set
Features (45)
Tweet
meta-­‐data
Number
of
seconds
since
the
tweet;
Source
of
tweet
(mobile
/
web/
etc);
Tweet
contains
geo-­‐coordinates
Tweet
content
(simple)
Number
of
characters;
Number
of
words;
Number
of
URLs;
Number
of
hashtags;
Number
of
unique
characters;
Presence
of
stock
symbol;
Presence
of
happy
smiley;
Presence
of
sad
smiley;
Tweet
contains
`via';
Presence
of
colon
symbol
Tweet
content
(linguistic)
Presence
of
swear
words;
Presence
of
negative
emotion
words;
Presence
of
positive
emotion
words;
Presence
of
pronouns;
Mention
of
self
words
in
tweet
(I;
my;
mine)
Tweet
author
Number
of
followers;
friends;
time
since
the
user
if
on
Twitter;
etc.
Tweet
network
Number
of
retweets;
Number
of
mentions;
Tweet
is
a
reply;
Tweet
is
a
retweet
Tweet links
WOT
score
for
the
URL;
Ratio
of
likes
/
dislikes
for
a
YouTube
video

9. Implementation

10. Feedback
by
Users
10

11. v

12. Harvard
(1839)
– Harvard
– Harvard
– Harvard
– MIT
–
Northwestern
– UIUC
– WUSL
– CMU
(2009)
– IIITD
(2015)
12

13. http://twitdigest.iiitd.edu.in/TweetCred/
13

14. De-­‐duplicating
audience
Social
audience
=
437,632
+
153,000
+
805,097
or
less??
14

15. Challenges
15
ProfessionalOpinion
Dating
Heterogeneous
OSNs
Personal
Degree
of
Details
Quality
and
descriptive
personal
And
professional
information
Little
personal
information
Descriptive
opinions
Attribute
Evolution
Time
Information
evolved
on
one
but
not
on
other
{jainpari,
Bangalore}
Registration
with
same
information
on
both
OSNs
{paridhij,
New
Delhi}

16. Generic
Identity
Resolution
16
Extract
available
&
discriminative
features
Candidate
Identities
IDENTITY
SEARCH IDENTITY
LINKING
Pairwise
Comparisons

17. Heuristic
Identity
Search
17
cerc.iiitd.ac.in
Profile
Content
Self-mention
Network
Syntactic
and Image
Search Linking
If self-identified /
returned by
more than one
search method
No
Yes
Candidate
Identities
name,
location,
username
mobile no,
post,
friends,
followers
Paridhi
Jain,
Ponnurangam Kumaraguru,
and
Anupam Joshi.
2013.
@I
seek
‘fb.me’:
Identifying
Users
across
Multiple
Online
Social
Networks.
In
Proceedings
of
the
22nd
International
Conference
on
World
Wide
Web,
WWW
’13
Companion.
ACM,
New
York,
NY,
USA,
1259-­‐ 1268.
DOI=http://dx.doi.org/10.1145/2487788.2488160
[Honorable
Mention
Award}

18. Harvard
(1839)
– Harvard
– Harvard
– Harvard
– MIT
–
Northwestern
– UIUC
– WUSL
– CMU
(2009)
– IIITD
(2016)
18

19. 19

20. 20
How
many
of
you
have
posted
mobile
numbers
on
Online
Social
Networks?
How
many
of
you
have
seen
mobile
numbers
being
posted
on
Online
Social
Networks?

21. Sample
posts
21

22. Sample
posts
22

23. Sample
posts
23

24. Sample
posts
24

25. Data
statistics
– Twitter:
12th
October
2012
– 20th
October
2013
– Facebook:
16th
November
2012
– 20th
April
2013
25
Numbers Category
+91 Category
0 Category
void Total
Twitter Facebook Twitter Facebook Twitter Facebook Twitter Facebook
Mobile
Numbers
885 2,191 14,909 8,873 25,566 25,294 41,360 36,358
User
profiles
1,074 2,663 17,913 9,028 31,149 25,406 49,817 36,588

26. 26

27. SocialCaller
App
27
https://play.google.com/store/apps/details?id=com.ayush.socialcaller&hl=en

28. 28
http://precog.iiitd.edu.in/research/ocean/

29. Takeaways
– Online
Social
Media
is
a
different
beast
in
terms
of
privacy,
identity,
and
credibility
-Research
/
technologies
should
be
developed
– Multiple
interesting
research,
engineering,
and
innovation
waiting
to
be
done
– Interested
in
hosting
students
– B.Tech.,
M.Tech.,
Ph.D.
29

30. 30
https://www.facebook.com/PreCog.IIITD/