At NIT Warangal. Part of Faculty Development Program. Internet of Things.

1. 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

2. 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
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3. https://www.youtube.com/channel/UCHWDvG
Dh4QjWbV79bM2neSg
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What we dabble with!

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12. Non-trustworthy Content
FAKE
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$
RUMORS

13. Methodology
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14. Training Data
– 500 Tweets per event
– Used CrowdFlower
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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

15. Credibility Modeling
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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

16. Implementation

17. Live demo …
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18. Feedback by Users
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19. v

20. Harvard (1839) – Harvard – Harvard – Harvard – MIT –
Northwestern – UIUC – WUSL – CMU (2009) – IIITD
(2015)
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21. Different in Facebook…
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22. Facebook Inspector
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23. Chrome store…
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24. Harvard (1839) – Harvard – Harvard – Harvard – MIT –
Northwestern – UIUC – WUSL – CMU (2009) – IIITD
(Nov 14, 2017)
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http://labs.precog.iiitd.edu.in/killfie/

32. Incidents Country wise
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33. Casualties
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34. Gender Distribution?
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35. Reasons?
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36. Growth of Death?
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http://precog.iiitd.edu.in/blog/2016/11/killfie-journey/

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What can you do to help?
https://www.facebook.com/saftiebot

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https://goo.gl/2sIdYT

40. 1,104+ location, 160+ verified
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fb.me/saftiebot
goo.gl/2sIdYT

42. Samsung #SafeIndia
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43. 439th International Workshop on Modeling Social Media (MSM), 2018 @ WWW

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http://precog.iiitd.edu.in/pubs/follower-count-fallacy-acmsac-2018.pdf

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47. 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…
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pk@iiitd.ac.in
http://precog.iiitd.edu.in/
https://fb.com/ponnurangam.kumaraguru
@ponguru
Linkedin/in/ponguru/