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EXP-50-CS
CLASS #6, 2/25/14

I N F O R M AT I O N , C R O W D S O U R C I N G A N D
T H E B I A S OF T H E F I LT E R B U ...
AGENDA
• Twitter
• Lightning Talks:
•

Gerson

•

• Next week

Cristina

• Recap of Last Week
• Information, Crowdsourcing...
TWO SURVEYS OF INTERNET USERS
• boyd and Hargittai
• Youth apparently do care about

privacy, and often change their
setti...
Z U C K E R B E R G I N 2 0 1 0 O N P R I VA C Y
• "When I got started in my dorm room at Harvard, the question a lot of p...
T H E M E S S AG E FAC E B O O K U S E R S S AW I N D E C E M B E R 2 0 0 9 .

R
source: http://
firstmonday.org/ojs/
index...
AD BLOCKING

P
A

• https://adblockplus.org

R

C
E

R
F

M
O

A
L

T
S

E
W

K
E
CROWD WISDOM

• Francis Galton
• “The Wisdom of Crowds”
• Guess the weight of the oxen
!

• Scott E. Page
• Diversity equa...
COMMUNITIES OF PRACTICE
• Patrick Conway
• Chief Knowledge Officer (CKO)
• U.S. Army Combined Arms Support Command
• Communi...
DUMBNESS OF CROWDS

http://headrush.typepad.com/creating_passionate_users/2007/01/the_dumbness_of.html
B I G O N L I N E N E T W O R K S T H AT A R E N ’ T
FAC E B O O K

• Wikipedia: http://rcmap.hatnote.com/#en
• Twitter: h...
S O M U C H I N F O W H AT D O ?

!

• Information diet?
• https://www.youtube.com/watch?v=lNFNOSzik14
G O O G L E F I LT E R S T H E I N T E R N E T
• Google PageRank
• In essence, Google interprets a link

from page A to pa...
• Filtering systems for your

own feed.

• How do you manage your

own information sources?

• Aggregators like

news.me/D...
CONTENT SHOCK
• Exponentially increasing volumes of

content intersect our limited human
capacity to consume it. — Mark Sc...
• Eli Pariser: The Filter Bubble
• http://www.ted.com/talks/

eli_pariser_beware_online_filter_bubbles.html
• Bing Elections 2012 lets you choose your own filter bubble
• Next Week:
• Journalism
• Talks by:
• Danyelle
• Tara
• Leila
NEXT WEEK: JOURNALISM
• Reading:
• Stray, Jonathan. Are we stuck in filter bubbles? Here are five potential paths out. July ...
Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- ...
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Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 1 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 2 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 3 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 4 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 5 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 6 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 7 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 8 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 9 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 10 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 11 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 12 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 13 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 14 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 15 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 16 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 17 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 18 Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6 Slide 19
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Lecture 6 from Tufts University EXP-50-CS "Social Media: Participatory Culture and Content Creation in Society." View more at www.exp50.com or contact @j_littlewood on Twitter.

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
see: https://creativecommons.org/licenses/

You may use, remix, tweak and build upon this work non-commercially, as long as you provide credit (Jesse Littlewood, www.jesselittlewood.com) and license your new work under identical terms.

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Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

  1. 1. EXP-50-CS CLASS #6, 2/25/14 I N F O R M AT I O N , C R O W D S O U R C I N G A N D T H E B I A S OF T H E F I LT E R B U B B L E TUFTS UNIVERSITY JESSE LITTLEWOOD A B O U T. M E / J E S S E . L I T T L E W O O D @J_LITTLEWOOD
  2. 2. AGENDA • Twitter • Lightning Talks: • Gerson • • Next week Cristina • Recap of Last Week • Information, Crowdsourcing and the Filter Bubble • Mid-Semester Evals
  3. 3. TWO SURVEYS OF INTERNET USERS • boyd and Hargittai • Youth apparently do care about privacy, and often change their settings • • K E • Pew Research Center E ads • 28% try to hide from W T S Ause a fake name or nickname • L 36% M Typically more worried about O • R other people seeing you than F P institutions A C E you are with • R More familiar technology, more likely you are to engage in privacy settings 33% are against internet anonymity Young people do more to hide • … young people have more online
  4. 4. Z U C K E R B E R G I N 2 0 1 0 O N P R I VA C Y • "When I got started in my dorm room at Harvard, the question a lot of people asked was 'why K E would I want to put any information on the Internet at all? Why would I want to have a website?' E W T really gotten comfortable services that have people sharing all this information. People have Smore openly and with more A not only sharing more information and different kinds, but L over time. people. That social norm is just something that has evolved M O R "We view it as our role in the system to constantly be innovating and be updating what our F social norms are. system is to reflect what the current P A be trapped by the conventions and their legacies of what they've C "A lot of companies would E change - doing a privacy change for 350 million users is not the kind of built, doingR a privacy • "And then in the last 5 or 6 years, blogging has taken off in a huge way and all these different • • thing that a lot of companies would do. But we viewed that as a really important thing, to always keep a beginner's mind and what would we do if we were starting the company now and we decided that these would be the social norms now and we just went for it."
  5. 5. T H E M E S S AG E FAC E B O O K U S E R S S AW I N D E C E M B E R 2 0 0 9 . R source: http:// firstmonday.org/ojs/ index.php/fm/article/ viewArticle/3086/2589 C E P A R F M O A L T S E W K E
  6. 6. AD BLOCKING P A • https://adblockplus.org R C E R F M O A L T S E W K E
  7. 7. CROWD WISDOM • Francis Galton • “The Wisdom of Crowds” • Guess the weight of the oxen ! • Scott E. Page • Diversity equals productivity • Trumps “IQ” Pedigree Alnwick Shorthorn bull “Sunstreak”, photographed by Sir Francis Galton
  8. 8. COMMUNITIES OF PRACTICE • Patrick Conway • Chief Knowledge Officer (CKO) • U.S. Army Combined Arms Support Command • Communities of practice — old communication methods are too slow • 165k people communicating • Only once did they have to ban someone — and it was for being offensive
  9. 9. DUMBNESS OF CROWDS http://headrush.typepad.com/creating_passionate_users/2007/01/the_dumbness_of.html
  10. 10. B I G O N L I N E N E T W O R K S T H AT A R E N ’ T FAC E B O O K • Wikipedia: http://rcmap.hatnote.com/#en • Twitter: http://tweetping.net/ • Reddit: https://www.youtube.com/watch?v=fXGs_7Yted8
  11. 11. S O M U C H I N F O W H AT D O ? ! • Information diet? • https://www.youtube.com/watch?v=lNFNOSzik14
  12. 12. G O O G L E F I LT E R S T H E I N T E R N E T • Google PageRank • In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. • Votes cast by pages that are themselves “important” weigh more heavily and help to make other pages “important.” • Not a directory.
  13. 13. • Filtering systems for your own feed. • How do you manage your own information sources? • Aggregators like news.me/Digg • Hashtags and search • Muting/unfriending • What else?
  14. 14. CONTENT SHOCK • Exponentially increasing volumes of content intersect our limited human capacity to consume it. — Mark Schaefer • 1) Deep pockets win • 2) The entry barriers become impossibly high • 3) The cost-benefits flip • Facebook says: On a given day, when someone visits News Feed, there are an average of 1,5001 possible stories we can show. www.businessesgrow.com/2014/01/06/content-shock/
  15. 15. • Eli Pariser: The Filter Bubble • http://www.ted.com/talks/ eli_pariser_beware_online_filter_bubbles.html
  16. 16. • Bing Elections 2012 lets you choose your own filter bubble
  17. 17. • Next Week: • Journalism • Talks by: • Danyelle • Tara • Leila
  18. 18. NEXT WEEK: JOURNALISM • Reading: • Stray, Jonathan. Are we stuck in filter bubbles? Here are five potential paths out. July 11, 2012. http://www.niemanlab.org/2012/07/are-we-stuck-in-filter-bubbles-here-are-five-potentialpaths-out/ • Mele, Nicco. The End of Big. Chapter 2 “Big News” http://nicco.org/readings/eobchapter2.pdf • Johnson, Steven. Future Perfect: The Case For Progress in a Networked Age. Chapter: Journalism: The Pothole Paradox. • Shirky, Clay. Newspapers and Thinking the Unthinkable. March 13, 2009. http:// www.shirky.com/weblog/2009/03/newspapers-and-thinking-the-unthinkable/ • Starkman, Dean. Confidence Game - The limited vision of the news gurus. Colombia Journalism Review. Nov. 8, 2011. http://www.cjr.org/essay/confidence_game.php?page=all

Lecture 6 from Tufts University EXP-50-CS "Social Media: Participatory Culture and Content Creation in Society." View more at www.exp50.com or contact @j_littlewood on Twitter. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) see: https://creativecommons.org/licenses/ You may use, remix, tweak and build upon this work non-commercially, as long as you provide credit (Jesse Littlewood, www.jesselittlewood.com) and license your new work under identical terms.

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