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INFORMATION, CROWDSOURCING AND THE BIAS OF THE FILTER BUBBLE EXP-50-CS CLASS #6, 2/25/14 TUFTS UNIVERSITY JESSE LITTLEWOOD ABOUT.ME/JESSE.LITTLEWOOD @J_LITTLEWOOD

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

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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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Page 1: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

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 O F T H E F I LT E R B U B B L E

E X P - 5 0 - C S C L A S S # 6 , 2 / 2 5 / 1 4

T U F T S U N I V E R S I T Y J E S S E L I T T L E W O O D A B O U T. M E / J E S S E . L I T T L E W O O D @ J _ L I T T L E W O O D

Page 2: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

A G E N D A

• Twitter

• Lightning Talks:

• Gerson

• Cristina

• Recap of Last Week

• Information, Crowdsourcing and the Filter Bubble

• Next week

• Mid-Semester Evals

Page 3: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

R E C A P F R O M L A S T W E E K

T W O S U R V E Y S O F I N T E R N E T U S E R S

• boyd and Hargittai

• Youth apparently do care about privacy, and often change their settings

• Typically more worried about other people seeing you than institutions

• More familiar you are with technology, more likely you are to engage in privacy settings

• Pew Research Center

• 28% try to hide from ads

• 36% use a fake name or nickname

• 33% are against internet anonymity

• Young people do more to hide

• … young people have more online

Page 4: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

R E C A P F R O M L A S T W E E K

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 would I want to put any information on the Internet at all? Why would I want to have a website?'

• "And then in the last 5 or 6 years, blogging has taken off in a huge way and all these different services that have people sharing all this information. People have really gotten comfortable not only sharing more information and different kinds, but more openly and with more people. That social norm is just something that has evolved over time.

• "We view it as our role in the system to constantly be innovating and be updating what our system is to reflect what the current social norms are.

• "A lot of companies would be trapped by the conventions and their legacies of what they've built, doing a privacy change - doing a privacy change for 350 million users is not the kind of 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."

Page 5: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

T H E M E S S A G E FA C 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 .

source: http://firstmonday.org/ojs/

index.php/fm/article/viewArticle/3086/2589

R E C A P F R O M L A S T W E E K

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

A D B L O C K I N G

• https://adblockplus.org

R E C A P F R O M L A S T W E E K

Page 7: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6
Page 8: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

C R O W D W I S D O M

• 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

Page 9: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

C O M M U N I T I E S O F P R A C T I C E

• 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

Page 10: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

D U M B N E S S O F C R O W D S

http://headrush.typepad.com/creating_passionate_users/2007/01/the_dumbness_of.html

Page 11: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

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 FA C E B O O K

• Wikipedia: http://rcmap.hatnote.com/#en

• Twitter: http://tweetping.net/

• Reddit: https://www.youtube.com/watch?v=fXGs_7Yted8

Page 12: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

S O M U C H I N F O W H AT D O ?

!

• Information diet?

• https://www.youtube.com/watch?v=lNFNOSzik14

Page 13: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

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.

Page 14: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

• 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?

Page 15: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

C O N T E N T S H O C K

• 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/

Page 16: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

• Eli Pariser: The Filter Bubble

• http://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.html

Page 17: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

• Bing Elections 2012 lets you choose your own filter bubble

Page 18: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

• Next Week:

• Journalism

• Talks by:

• Danyelle

• Tara

• Leila

Page 19: Social Media: Information, Crowdsourcing and The Filter Bubble -- Tufts University EXP-50-CS Spring 2014: Social Media -- Lecture 6

N E X T W E E K : J O U R N A L I S M

• 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-potential-paths-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