Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.
Mitigating Misinformation Spread on
Micro-blogging Web Services using
TweetCred
CENS	
  Workshop	
  on	
  Social	
  Media	...
Who am I?
– Associate	
  Professor,	
  IIIT-­‐Delhi	
  	
  	
  
– Ph.D.	
  from	
  School	
  of	
  Computer	
  Science,	...
Harvard (1839) – Harvard – Harvard – Harvard –
MIT – Northwestern – UIUC – WUSL – CMU (2009)
– IIITD (2015)
3	
  
Real World Events
4	
  
Misinformation on Social Media
5	
  
Misinformation on Social Media
6	
  
Misinformation on Social Media
7	
  
Misinformation Tweets
FAKE	
  
RUMORS	
  
8	
  
$	
  
Temporal Patterns
9	
  
Fake	
  content	
  /	
  rumors	
  becomes	
  viral	
  in	
  first	
  7-­‐8	
  hours	
  just	
  a`er...
Sample Fake Tweets
10	
  
>	
  50,000	
  RTs	
  
>	
  30,000	
  RTs	
  
Architecture
11	
  
Features for Real-time Analysis
12	
  
Feature	
  set	
  	
   	
  Features	
  (45)	
  	
  
Tweet	
  meta-­‐data	
  	
  
Nu...
Implementation
Feedback by Users
14	
  
Usage Statistics
Date	
  of	
  launch	
  of	
  TweetCred	
   	
  27	
  Apr,	
  2014	
  
Credibility	
  score	
  requests	
...
Users of TweetCred
Sample	
  users:	
  
- Emergency	
  responders	
  
- Firefighters	
  
- Journalists	
  /	
  news	
  medi...
v
Media / Popular reference
TweetCred
– Available	
  as	
  a	
  Chrome	
  Extension	
  
– Rest	
  API	
  
hgps://chrome.google.com/webstore/detail/t...
Takeaways
– Technology	
  can	
  be	
  built	
  to	
  reduce	
  the	
  effect	
  
of	
  rumors	
  /	
  misinforma7on	
  on...
Thank	
  you!	
  	
  
	
  
pk@iiitd.ac.in	
  
precog.iiitd.edu.in	
  
Prochain SlideShare
Chargement dans…5
×

Mitigating Misinformation Spread on Micro-blogging Web Services using TweetCred

696 vues

Publié le

at CENS Workshop on Social Media in Communication, Governance and Security on Nov 6, 2015 by Ponnurangam Kumaraguru (“PK”) @ponguru

Publié dans : Technologie
  • Soyez le premier à commenter

  • Soyez le premier à aimer ceci

Mitigating Misinformation Spread on Micro-blogging Web Services using TweetCred

  1. 1. Mitigating Misinformation Spread on Micro-blogging Web Services using TweetCred CENS  Workshop  on  Social  Media  in   Communica7on,  Governance  and  Security   Nov  6,  2015     Ponnurangam  Kumaraguru  (“PK”)   Associate  Professor,  Founding  Head   Cybersecurity  Educa7on  and  Research  Centre  (CERC)   O/ponnurangam.kumaraguru,  @ponguru  
  2. 2. Who am I? – Associate  Professor,  IIIT-­‐Delhi       – Ph.D.  from  School  of  Computer  Science,          Carnegie  Mellon  University  (CMU)       – Research  interests     - Privacy,  e-­‐crime,  online  social  media,  and  usable   security     – Founding  Head,  CERC@IIITD     – Co-­‐ordinate  and  manage  Precog,   precog.iiitd.edu.in     – I  conduct  Government  /  Intelligence  /  Police   focused  training  programs  on  OSM   2  
  3. 3. Harvard (1839) – Harvard – Harvard – Harvard – MIT – Northwestern – UIUC – WUSL – CMU (2009) – IIITD (2015) 3  
  4. 4. Real World Events 4  
  5. 5. Misinformation on Social Media 5  
  6. 6. Misinformation on Social Media 6  
  7. 7. Misinformation on Social Media 7  
  8. 8. Misinformation Tweets FAKE   RUMORS   8   $  
  9. 9. Temporal Patterns 9   Fake  content  /  rumors  becomes  viral  in  first  7-­‐8  hours  just  a`er  the  event.      
  10. 10. Sample Fake Tweets 10   >  50,000  RTs   >  30,000  RTs  
  11. 11. Architecture 11  
  12. 12. Features for Real-time Analysis 12   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  (linguis7c)     Presence  of  swear  words;  Presence  of  nega7ve  emo7on  words;   Presence  of  posi7ve  emo7on  words;  Presence  of  pronouns;   Men7on  of  self  words  in  tweet  (I;  my;  mine)   Tweet  author     Number  of  followers;  friends;  7me  since  the  user  if  on  Twiger;   etc.   Tweet  network     Number  of  retweets;  Number  of  men7ons;  Tweet  is  a  reply;   Tweet  is  a  retweet   Tweet  links     WOT  score  for  the  URL;  Ra7o  of  likes  /  dislikes  for  a  YouTube   video  
  13. 13. Implementation
  14. 14. Feedback by Users 14  
  15. 15. Usage Statistics Date  of  launch  of  TweetCred    27  Apr,  2014   Credibility  score  requests  received   14,234,131   Unique  Twiger  users   1,808   Feedback  was  given  for  tweets   1,654   Unique  users  who  gave  feedback   364   15   *  Data  as  on  April’15.  hgp://precog.iiitd.edu.in/Publica7ons_files/socinfo_paper_102.pdf  
  16. 16. Users of TweetCred Sample  users:   - Emergency  responders   - Firefighters   - Journalists  /  news  media   - General  users   - Researchers  (Requested  API  tokens)   16  
  17. 17. v Media / Popular reference
  18. 18. TweetCred – Available  as  a  Chrome  Extension   – Rest  API   hgps://chrome.google.com/webstore/detail/tweetcred/Ookljinlogeihdnkikeeneiankdgikg?hl=en  
  19. 19. Takeaways – Technology  can  be  built  to  reduce  the  effect   of  rumors  /  misinforma7on  on  Online  Social   Media     – Will  be  good  to  have  some  interna7onal   collabora7on  in  using  OSM  for  Govt.       - Given  that  I  am  in  Delhi,  will  be  happy  to  help  in   anyways  possible     19  
  20. 20. Thank  you!       pk@iiitd.ac.in   precog.iiitd.edu.in  

×