Presentation for the Pennsylvania Library Association's College & Research Division, as part of the Connect & Communicate series. As data collection and processing become easier and cheaper, algorithms and information systems are quite literally reshaping our communities. Our students face a radically new information environment in which converging streams of data have unseen and unexpected effects on human attitudes and behavior. How can academic librarians teach students to recognize and remain conscious of the information systems in which they participate? How can we prepare students to be informed citizens in an increasingly complex, data-driven society?

1. I N F O R M AT I ON L I T E R A C Y I N A N
P A L A - C R D C O N N E C T A N D C O M M U N I C AT E – S E P T E M B E R 11 , 2 0 1 2

2. Google Image search for “kristen yarmey”
2012-09-02

3. BASSAM SHAKHASHIRI
Biennial Conference on Chemical Education 2012

4. BASSAM SHAKHASHIRI
Biennial Conference on Chemical Education 2012

5. BASSAM SHAKHASHIRI
Biennial Conference on Chemical Education 2012

6. “RNC vs DNC in Tweets”
Topsy, 2012-09-07

7. Information Literacy Competency Standards for Higher Education, 2000

9. (IN AN AGE OF ALGORITHMS)

10. “Big Data in Your Blood”
New York Times, 2012-09-07

11. “You for Sale: Mapping, and Sharing, the Consumer Genome”
New York Times, 2012-06-16
LORI B. ANDREWS
I Know Who You Are and I Saw What You Did, 2011

12. “The Friendship Algorithm Flowchart”
(As sold on ThinkGeek)

13. “Algorithms Rank Relevant Results Higher”
Google, “Facts about Google and Competition”

14. “Searching for a Speed Limit in High-Frequency Trading”
New York Times, 2012-09-08

15. GEORGE DYSON
“A Universe of Self-Replicating Code”
Edge, 2012-03-26

16. KEVIN SLAVIN
“How Algorithms Shape our World”
TEDGlobal 2011

17. “Investors, Regulators Laid Path to „Flash Crash‟”
Wall Street Journal, 2010-09-29
See also “Findings Regarding the Market Events of May 6, 2010”
Report of the Staffs of the CFTC and SEC to the Joint Advisory
Committee on Emerging Regulatory Issues

18. “Computer Glitch Summons 1,200 to Auburn Courthouse”
CBS Sacramento, 2012-05-01

19. “Unknown unknowns”
Mammoth, 2012-03

20. “PersonicX Cluster Perspectives”
Acxiom, 2010

21. “Predictive Modeling: Next Best Offer Model”
North Atlantic Group

22. SEETA PENA GANGADHARAN
“Digital Inclusion and Data Profiling”
First Monday, 17(5), 2012

23. Google Shopping search for “stylus,” 2012-09-10
See also “Google Charges Retailers to Appear on Shopping Site”
New York Times, 2012-09-10

24. Ed Mierzwinski, U.S. Public Interest Research Group
“Secret E-Scores Chart Consumers‟ Buying Power”
New York Times, 2012-08-18

25. TED STRIPHAS
“The Algorithm”
Future Tense, 2012-03-25
See also: Andrew Asher, “Search Magic”
An Anthropology of Algorithms, 2011-12-05

26. ALEXANDER FURNAS
“It‟s Not All About You: What Privacy Advocates Don‟t Get About Data
Tracking on the Web”
The Atlantic, 2012-03-15

27. “Where‟s Walden? GPS Often Doesn‟t Know”
New York Times, 2012-09-01

28. DAVID M. BERRY
The computational turn: Thinking about the digital humanities.
Culture Machine, 12. (2011)

29. DANAH BOYD AND KATE CRAWFORD
Critical questions for Big Data
Information, Communication & Society, 15(5), 662–679.

30. Is 5-hour ENERGY® Right for You?
5hourenergyshot, 2012-07-18

31. DANAH BOYD AND KATE CRAWFORD
Critical questions for Big Data
Information, Communication & Society, 15(5), 662–679.

33. Brian McFadden, “The Strip”
New York Times, 2012-09-09

34. Digital Literacy Definition and Resources
University Library, University of Illinois at Urbana-Champaign

36. W W W. S L I D E S H A R E . N E T / K R I S T E N Y T