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APavliuc's profile
Alexa Pavliuc
Alexa Pavliuc
Alexa Pavliuc
@APavliuc

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Alexa Pavliuc

@APavliuc

Social Network Analyst | Data Sci @CityUniLondon | London Hub @RyersonFCAD | Mozilla grantee | Published by NATO StratCom, featured on @CBC | 🇨🇦🇺🇦

London, England
Joined August 2014

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Alexa Pavliuc‏ @APavliuc

Want to watch 6 disinfo operations unfold in 6 minutes? Thanks to a @Mozilla Open Source Support grant, I’ve done just that with network visualization and documented some interesting patterns on Medium https://medium.com/@alexa.pavliuc/watch-six-decade-long-disinformation-operations-unfold-in-six-minutes-5f69a7e75fb3 … 1/

12:33 PM - 26 Jan 2020
  • 728 Retweets
  • 1,286 Likes
  • Ineptitude byte_scream BigDogg365 CYBERKOJI 2020 Ruben Seoane Tamara Miller Ruis Lacroix Bustamante Mark Greenwood Ridhwan Ikhwanto
23 replies 728 retweets 1,286 likes
    1. New conversation
    2. Alexa Pavliuc‏ @APavliuc Jan 26

      I visualized the evolution of Iranian, Chinese, Russian, Ecuadorian, Venezuelan, and Egyptian/UAE operation datasets that @Twitter has released incrementally since 2018 2/pic.twitter.com/gtuNCLbeYD

      4 replies 29 retweets 62 likes
      Show this thread
    3. Alexa Pavliuc‏ @APavliuc Jan 26

      When you unfurl network visualizations over time, you can observe the bursts of activity and quiet periods of these operations, and the strategies they deployed. 3/

      1 reply 13 retweets 43 likes
      Show this thread
    4. Alexa Pavliuc‏ @APavliuc Jan 26

      Take China, where accounts created over the last decade were deployed during the operations largest burst of activity before being shut down. New (dark grey) accounts were also created to further add to the conversation of more established (green, blue) accounts 4/pic.twitter.com/CWyrBx5BrB

      1 reply 16 retweets 46 likes
      Show this thread
    5. Alexa Pavliuc‏ @APavliuc Jan 26

      Differences in patterns and structures like these may help us recognize the activities of certain groups/countries in the future, if we learn what to look for. A big thank you to @camillefrancois and @benimmo for helping support this research! #disinformation #AcademicChatter 5/5

      3 replies 13 retweets 51 likes
      Show this thread
    6. Alexa Pavliuc‏ @APavliuc 20h20 hours ago

      Also if anyone has PhD funding for work like this that would be cooool! 🤓

      1 reply 6 retweets 39 likes
      Show this thread
    7. End of conversation
    1. New conversation
    2. Christian Heebøll‏ @Chris_Heeboll 17h17 hours ago
      Replying to @APavliuc @mozilla

      Would love to read it. Unfortunately the link chrashes my iPad.

      1 reply 0 retweets 0 likes
    3. Alexa Pavliuc‏ @APavliuc 17h17 hours ago
      Replying to

      That's strange. There are 7 embedded videos and lots of images but no one else has had that issue!

      1 reply 0 retweets 0 likes
    4. 3 more replies
    1. New conversation
    2. Renee DiResta‏Verified account @noUpside 16h16 hours ago
      Replying to @APavliuc @mozilla

      Cool project & great visualizations! For China: we believed (as did others) they purchased or otherwise took over their accounts. early tweets were mostly spam/compromised account activity. They didn’t appear to be building them up. (unlike 🇷🇺)

      1 reply 0 retweets 16 likes
    3. Alexa Pavliuc‏ @APavliuc 16h16 hours ago
      Replying to

      Thank you. I really admire your work and appreciate you noticing mine! Yes, you're right. It's interesting to watch them dive into the HK protest region in 2019!

      0 replies 0 retweets 7 likes
    4. End of conversation
    1. New conversation
    2. matt‏ @mattprobably 22h22 hours ago
      Replying to @APavliuc @selectedwisdom @mozilla

      funny how at first glance i assumed these were viruses or something

      3 replies 0 retweets 6 likes
    3. Alexa Pavliuc‏ @APavliuc 18h18 hours ago
      Replying to

      Yep. The first time I did a temporal view of a network my jaw dropped!

      0 replies 0 retweets 8 likes
    4. End of conversation
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