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Privacy	&	Security	in	Online	Social	
Media	
Faculty	Development	Program	
NIT	Warangal	
June	22,	2018
Ponnurangam	Kumaraguru	(“PK”)
IIIT	{D,	H}	
TEDx &	ACM	Distinguished	Speaker
Linkedin/in/ponguru/	
fb/ponnurangam.kumaraguru
@ponguru
Who	am	I?	
– Associate	Professor,	IIIT-Delhi		
– On	sabbatical	at	IIIT	Hyderabad	
– 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
https://www.youtube.com/channel/UCHWDvG
Dh4QjWbV79bM2neSg
3
4
What	we	dabble	with!
5
6
7
8
9
10
11
Non-trustworthy	Content
FAKE
12
$
RUMORS
Methodology
13
Training	Data
– 500	Tweets	per	event
– Used	CrowdFlower
14
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
Credibility	Modeling	
15
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
Implementation
Live	demo	…
17
Feedback	by	Users
18
v
Harvard	(1839)	– Harvard	– Harvard	– Harvard	– MIT	–
Northwestern	– UIUC	– WUSL	– CMU	(2009)	– IIITD	
(2015)				
20
Different	in	Facebook…
21
Facebook	Inspector
22
Chrome	store…
23
Harvard	(1839)	– Harvard	– Harvard	– Harvard	– MIT	–
Northwestern	– UIUC	– WUSL	– CMU	(2009)	– IIITD	
(Nov	14,	2017)				
24
25
26
27
28
29
30
31
http://labs.precog.iiitd.edu.in/killfie/
Incidents	Country	wise	
32
Casualties	
33
Gender	Distribution?	
34
Reasons?	
35
Growth	of	Death?	
36
37
http://precog.iiitd.edu.in/blog/2016/11/killfie-journey/
38
What	can	you	do	to	help?	
https://www.facebook.com/saftiebot
39
https://goo.gl/2sIdYT
1,104+	location,	160+	verified	
40
41
fb.me/saftiebot
goo.gl/2sIdYT
Samsung	#SafeIndia
42
439th International	Workshop	on	Modeling	Social	Media	(MSM),	2018	@	WWW
44
45
http://precog.iiitd.edu.in/pubs/follower-count-fallacy-acmsac-2018.pdf
46
Takeaways…
– Social	media	is	not	going	away…
– Security	and	Privacy	is	there	to	stay…
– No	dearth	of	problems	to	study…
– Will	be	happy	to	discuss	anything	further…
– Happy	to	visit	and	host	you…
47
48
pk@iiitd.ac.in	
http://precog.iiitd.edu.in/	
https://fb.com/ponnurangam.kumaraguru
@ponguru
Linkedin/in/ponguru/

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