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Privacy and Security in Online
Social Media
Course on NPTEL
NOC-CS07
Week 7.1
Ponnurangam Kumaraguru (“PK”)
Associate Professor
ACM Distinguished Speaker
fb/ponnurangam.kumaraguru, @ponguru
Spammers
⚫Fraction of reciprocated in-links from
spammers vs spam-follower node rank
2
Spammers
⚫Top 100,000 spam-followers account for 60%
of all links acquired by the spammers
⚫Top spam-followers tend to reciprocate all
links established to them by spammers
3
Popular users more likely
⚫Probability of response vs indegree for all
users targetted by spammers
4
Popular users more likely
⚫Probability of response vs indegree for all
users targetted by spammers
⚫Users with low indegree do not reciprocate
to links from spammers.
⚫Responsiveness increases with number of
followers
5
Top 5 link farmers
⚫Twitter account bios
⚫Having most links to spammers and highest
pagerank
⚫Popular accounts
6
Top link farmers are not spammers
⚫100,000 link farmers
⚫18,826 were suspended
⚫4,768 were “not found”
⚫76% still active
⚫235 are verified
⚫Manually checked 100 random users
(volunteers)
⚫86 were real accounts
-Business, internet marketing, ENT, money and
social media
7
Node degree distribution: In
8
⚫Top link farmers have very high indegree compared
to spammers and random sample
Node degree distribution: Out
9
⚫Top link farmers have very high outdegree
compared to spammers and random sample
Node degree distribution: In/Out
10
⚫Most of the top link farmers have ratio near 1
Account bio of top 100,000 & random sample
11
Account bio of top 100,000 & random sample
⚫LF: promoting their own business or content
or trends in a domain. Links to legitimate
external sources
⚫RS: don’t tweet to external sources
12
Conclusion
⚫Characteristics of links farmers
⚫Surprisingly, legitimate, popular, and highly
active users such as bloggers, and experts
mostly likely engage in link farming
⚫Increase social capital and influence
13
Thank you
pk@iiitd.ac.in
precog.iiitd.edu.in
fb/ponnurangam.kumaraguru

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Week 7.1 Link Farming

  • 1. Privacy and Security in Online Social Media Course on NPTEL NOC-CS07 Week 7.1 Ponnurangam Kumaraguru (“PK”) Associate Professor ACM Distinguished Speaker fb/ponnurangam.kumaraguru, @ponguru
  • 2. Spammers ⚫Fraction of reciprocated in-links from spammers vs spam-follower node rank 2
  • 3. Spammers ⚫Top 100,000 spam-followers account for 60% of all links acquired by the spammers ⚫Top spam-followers tend to reciprocate all links established to them by spammers 3
  • 4. Popular users more likely ⚫Probability of response vs indegree for all users targetted by spammers 4
  • 5. Popular users more likely ⚫Probability of response vs indegree for all users targetted by spammers ⚫Users with low indegree do not reciprocate to links from spammers. ⚫Responsiveness increases with number of followers 5
  • 6. Top 5 link farmers ⚫Twitter account bios ⚫Having most links to spammers and highest pagerank ⚫Popular accounts 6
  • 7. Top link farmers are not spammers ⚫100,000 link farmers ⚫18,826 were suspended ⚫4,768 were “not found” ⚫76% still active ⚫235 are verified ⚫Manually checked 100 random users (volunteers) ⚫86 were real accounts -Business, internet marketing, ENT, money and social media 7
  • 8. Node degree distribution: In 8 ⚫Top link farmers have very high indegree compared to spammers and random sample
  • 9. Node degree distribution: Out 9 ⚫Top link farmers have very high outdegree compared to spammers and random sample
  • 10. Node degree distribution: In/Out 10 ⚫Most of the top link farmers have ratio near 1
  • 11. Account bio of top 100,000 & random sample 11
  • 12. Account bio of top 100,000 & random sample ⚫LF: promoting their own business or content or trends in a domain. Links to legitimate external sources ⚫RS: don’t tweet to external sources 12
  • 13. Conclusion ⚫Characteristics of links farmers ⚫Surprisingly, legitimate, popular, and highly active users such as bloggers, and experts mostly likely engage in link farming ⚫Increase social capital and influence 13