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Teaching Students to Lie, Manipulate, and Mislead with Information Visualizations

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We’ve been creating and managing data for centuries, and the recent improvements in technology make more data readily available to more people. This wealth of data can help us make better decisions, understand complex phenomena, and communicate effectively, but only when used appropriately. Visualization is one of the best ways to tell stories from data, but visualizations can also mislead and confuse. In this presentation, I’ll introduce a few exercises you can use with your students to help them learn to design effective information visualizations. We will use real-world data and a variety of software tools to create visualizations that inform, persuade, and illuminate.

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Teaching Students to Lie, Manipulate, and Mislead with Information Visualizations

  1. 1. TEACHING STUDENTS TO LIE, MISLEAD, AND MANIPULATE WITH INFORMATION VISUALIZATION Libby Hemphill, PhD Illinois Institute of Technology
  2. 2. ASSUMING … Data literacy is important so that we can • Tell compelling stories that others are more likely to repeat, remember, and act on • Determine when someone else is trying to mislead using visualizations
  3. 3. http://www.mcsweeneys.net/articles/graph-36-how-many-charts-there-are-right-here
  4. 4. INFORMING, PERSUADING, AND ILLUMINATING
  5. 5. BUILDING A VISUALIZATION 1. Determine the story you want to tell or question you want to answer 2. Find or collect the data you need 3. Sketch your design 4. Annotate your sketch 5. Construct your visualization
  6. 6. BUILDING A VISUALIZATION 1. Determine the story you want to tell or question you want to answer 2. Find or collect the data you need 3. Sketch your design 4. Annotate your sketch 5. Construct your visualization
  7. 7. LYING, MISLEADING, AND MANIPULATING
  8. 8. TRUNCATED AXES
  9. 9. TRUNCATED AXES
  10. 10. DECEPTIVE DIMENSIONS CIRCUMFERENCE AREA http://www.vox.com/2014/8/20/6040435/als-ice-bucket-challenge-and-why-we-give-to-charity-donate
  11. 11. HARD TO READ FORMATS http://www.usatoday.com/story/tech/2014/08/12/apple-diversity-white-asian-male/ 13951329/http://www.storytellingwithdata.com/2014/08/design-with-audience-in-mind.html
  12. 12. SPURIOUS RELATIONSHIPS http://www.tylervigen.com/
  13. 13. SPECIOUS MEASURES
  14. 14. YOUR TURN … http://www.visualisingdata.com/index.php/2014/04/the-fine-line-between-confusion-and-deception/
  15. 15. PRACTICE
  16. 16. KEYS TO GOOD VISUALS
  17. 17. EXERCISE ONE COMPUTER SCIENCE DEGREE CONFERRALS
  18. 18. RAW DATA http://bit.ly/hemphill_wpi_data
  19. 19. DATA HERO http://www.datahero.com
  20. 20. EXERCISE TWO DIVERSITY IN TECH COMPANIES
  21. 21. RAW DATA http://www.usatoday.com/story/tech/2014/08/12/apple-diversity-white-asian-male/13951329/
  22. 22. EXCEL
  23. 23. EXERCISE THREE TWEETS OVER TIME
  24. 24. TABLEAU
  25. 25. THANK YOU Contact Info: libby.hemphill@iit.edu @libbyh http://libbyh.com Resource List: http://bit.ly/hemphill_wpi_notes Slides: http://slideshare.net/libbyh
  26. 26. SUPPLEMENTAL SLIDES
  27. 27. MORE CLASSROOM ACTIVITIES
  28. 28. CAPTION THIS … http://flowingdata.com/2014/07/02/jobs-charted-by-state-and-salary/
  29. 29. TELL A STORY ABOUT WORDS … https://books.google.com/ngrams
  30. 30. CHECK YOUR ASSUMPTIONS… https://apps.facebook.com/namegenweb/
  31. 31. MORE EXAMPLES OF GOOD VISUALIZATIONS
  32. 32. HIERARCHIES http://newsmap.jp
  33. 33. TIME http://www.babynamewizard.com/voyager
  34. 34. NETWORKS
  35. 35. TIME http://www.nytimes.com/interactive/2009/07/31/business/20080801-metrics-graphic.html?_r=0
  36. 36. NETWORKS http://www.nytimes.com/interactive/2010/05/02/weekinreview/02marsh.html

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