Bowdoin: Data Driven Socities 2014 - On Digital Publics of Opening…or Not 2/17/14

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Data Driven Societies
Digital & Computational Studies
Bowdoin College
February 17, 2014
Professors Gieseking & Gaze

Lecture Slides "On Digital Publics of Opening…or Not"

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Bowdoin: Data Driven Socities 2014 - On Digital Publics of Opening…or Not 2/17/14

  1. 1. Data Driven Societies: On Digital Publics of Opening…or Not Professors Gaze & Gieseking
  2. 2. Announcements! ✦ Hackathons: 2/26 or 4/23 from 6-9pm, VAC 3rd fl. (must attend at least one) ! ✦ Field trip 2/28 at 11am-1.30pm, need IDs ! ✦ Time to check on the data: download this week’s ScraperWiki senaiben.org
  3. 3. Data & Information (Recap) ✦ Information society ! ✦ Data vs. information ! ✦ Information-as-freedom vs. information-as-control
  4. 4. Big Data & Privacy (recap) ✦ Ethical research ! ✦ Data sample and data access ✦ Firehose, gardenhose, spritzer ✦ API ! ✦ Defining big data, defining privacy daily.captaindash.com
  5. 5. Searching the Engine / for Privacy (recap) ✦ Filter bubble, machine learning, privacy ✦ Team exercise on blog posts ✦ Begin lab ✦ Quiz
  6. 6. What Does It Mean to Go Public? mappingbooks.blogspot.com
  7. 7. What Does It Mean to Go Public? srogers.carto.db
  8. 8. Representing Representation ✦ 2-3 minutes: present you peer’s research based on her or his representation post ✦ 1 minute rebuttal: add anything else you want to ! When you are all complete, discuss: ✦ What surprised (or not) you about what you heard? ✦ What trends do you see developing across your hashtag theme? What is specific to you? ✦ What trends do you think could be explored further in your peers’ hashtag analysis in the future? And in your own future analysis?
  9. 9. Next Class: Feb. 17 Today: going public 101 ✦ ! Quiz: terms / concepts coming via email ✦ ! Readings: Donovan, Grossman, Odewahn — NOTE SYLLABUS CHANGE! ✦ ! ✦ Next class/lab: ✦ publicness, proprietary ecologies ✦ t-tests & Beysian stats intro
  10. 10. Social Scientific Approach 0. Identify an issue 1. Research question 2. Theoretical approach 3. Literature review 4. Methods 5. Analysis 6. Discussion 7. Conclusion
  11. 11. Digital Natives, a.k.a. Digitized American Youth ✦ 77% have a cell phone ✦ 95% have internet access ✦ 80% with internet access use social media ✦ Average of 3,417 texts per month from the Pew Internet & American Life Project 2011-2012 digitalfamiysummit.com
  12. 12. MyDigitalFootprint.org mydigitalfoorprint.org
  13. 13. Opening Proprietary Ecologies ✦ 77% have a cell phone ✦ 95% have internet access ✦ 80% with internet access use social media ✦ Average of 3,417 texts per month from the Pew Internet & American Life Project 2011-2012
  14. 14. ScraperWiki Support A clever and elegant solution to our problem of accessing Twitter data with a limited number of calls: ! 1. Open ScraperWiki and view your table ! 2. Download EVERY MONDAY ! 3. Restart EVERY MONDAY (you will need to do this the first Monday of break too)
  15. 15. Interpretation is Inevitable & Essential All researchers are interpreters of data. … Interpretation is the center of data analysis. -boyd & Crawford (2012) ! Interpretation - the act of explaining meaning, i.e., transforming data into information and information into knowledge
  16. 16. Interpretation is… ! ! ✦ Design decisions grow from what is measured ✦ Limitation and bias lead to misinterpretation ✦ Can we transcend subjectivity? Can we ever be truly objective?

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