Mor Naaman

@informor

Information Science Faculty at focusing on our information ecosystem’s impact on democracy. Taller in person.

New York, NY
Liittynyt elokuu 2009

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  1. Kiinnitetty twiitti
    10. toukok. 2018

    From a Brooklyn College reporter, a delightfully accurate account of our experience, including the challenges/difficulties and the successes/potential of our six-university course -- and why it is important.

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    Kumoa
  2. uudelleentwiittasi
    25. toukok.

    facebook clearly shouldn't be making policy that impact us all. it's interesting to listen to this interview, but highlights the impossible situation that they're in (and how in over their head they are) for defining policy.

    Kumoa
  3. uudelleentwiittasi
    24. toukok.

    Ready for Summer?

    Kumoa
  4. 23. toukok.
    Kumoa
  5. 23. toukok.

    Almost full house already at 9am!

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    Kumoa
  6. 23. toukok.

    Excited for this event. I even put my favorite socks on.

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    Kumoa
  7. uudelleentwiittasi
    23. toukok.

    And the prize for best special effects in an online news story ... (You may have to wait a few seconds, but it's worth it.)

    Kumoa
  8. 22. toukok.

    If you wondered what and sound like in Hebrew... well, you are welcome: Beautiful re-imagining of the songs, and fantastically adapted lyrics (most of you will only get to appreciate the former, apologies)

    Kumoa
  9. uudelleentwiittasi
    22. toukok.

    It is emails like these that keep professors going. Please please send them!

    Kumoa
  10. uudelleentwiittasi
    20. toukok.

    Chase CEO Giving Commencement Speech Pledges To Double Whole Class’s Student Loan Debt

    Kumoa
  11. uudelleentwiittasi
    18. toukok.

    If you're new to , this pretty much sums it up to be fair.

    Kumoa
  12. uudelleentwiittasi
    18. toukok.

    This is a v. interesting study on using infusing explicit user intent into recommendations. More of this, please! (paging )

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    Kumoa
  13. uudelleentwiittasi
    16. toukok.

    This seems to be a great book, but it's not a book about data science. While the term is very far from being properly defined, data scientists work a lot about modeling research questions and solving them with machine learning or experimentation 1/3

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    Kumoa
  14. 13. toukok.

    True story. there’s your clue. Rory, if you stop by NYC, next beer is on me.

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    Kumoa
  15. 13. toukok.

    Last night in Knoydart’s Old Forge, Scotland’s most remote pub, a tall gentleman approach my friend and I to congratulate us for being taller than him. We were the only people in the pub, peninsula, West Highlands - and probably the Western Hemisphere - who didn’t recognize him.

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    Kumoa
  16. uudelleentwiittasi
    9. toukok.

    Deadline extended! Interested in AR, VR, or accessibility? Check out the XR Access Symposium (July 16 at Cornell Tech). Working to make XR tech accessible to ppl w/disabilities. Apply to attend by May 20 (space is limited)!! Pls RT

    Kumoa
  17. 9. toukok.

    You can read the full paper here: ? and if you are at you can learn about all these and more from today at the 11am Decision Making (hmmm?) session, Carron 2 (final paper in the session).

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    Kumoa
  18. 9. toukok.

    Final note: these results are definitely not suggesting causality. For instance, the most glaring challenge is that people with low propensity to trust may choose to join a different set of groups.

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    Kumoa
  19. 9. toukok.

    Here is a summary of the full regression model: when do (what contributes to) individual’s trust their groups?

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    Kumoa
  20. 9. toukok.

    Generally we show that groups that are smaller, closed, older, more exclusive or more homogeneous (e.g. age, gender) are trusted more by members, and that a group’s overall friendship-network structure and an individual’s position within that structure further predict their trust

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    Kumoa
  21. 9. toukok.

    Cool result: people trust private groups more than public ones, but this differences dissipates around a group size of, you guessed it, Dunbar’s number! (150). See below group size (log, x) vs one trust dimension for private (solid) and public (dash) groups. Color? See prev tweet

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    Kumoa

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