full transcript
"From the Ted Talk by Alessandro Acquisti: What will a future without secrets look like?"

Unscramble the Blue Letters

To test that, we did an experiment on Carnegie Mellon University campus. We aeksd students who were walking by to participate in a study, and we took a shot with a webcam, and we asked them to fill out a survey on a laptop. While they were filling out the survey, we upaoeldd their shot to a cloud-computing cluster, and we started using a faacil recognizer to mctah that shot to a database of some hundreds of thousands of images which we had ddnloweaod from Facebook profiles. By the time the subject reached the last page on the survey, the page had been dynamically uapdetd with the 10 best matching pothos which the recognizer had found, and we asked the subjects to indicate whether he or she found themselves in the photo.

Open Cloze

To test that, we did an experiment on Carnegie Mellon University campus. We _____ students who were walking by to participate in a study, and we took a shot with a webcam, and we asked them to fill out a survey on a laptop. While they were filling out the survey, we ________ their shot to a cloud-computing cluster, and we started using a ______ recognizer to _____ that shot to a database of some hundreds of thousands of images which we had __________ from Facebook profiles. By the time the subject reached the last page on the survey, the page had been dynamically _______ with the 10 best matching ______ which the recognizer had found, and we asked the subjects to indicate whether he or she found themselves in the photo.

Solution

  1. photos
  2. uploaded
  3. match
  4. asked
  5. downloaded
  6. updated
  7. facial

Original Text

To test that, we did an experiment on Carnegie Mellon University campus. We asked students who were walking by to participate in a study, and we took a shot with a webcam, and we asked them to fill out a survey on a laptop. While they were filling out the survey, we uploaded their shot to a cloud-computing cluster, and we started using a facial recognizer to match that shot to a database of some hundreds of thousands of images which we had downloaded from Facebook profiles. By the time the subject reached the last page on the survey, the page had been dynamically updated with the 10 best matching photos which the recognizer had found, and we asked the subjects to indicate whether he or she found themselves in the photo.

ngrams of length 2

collocation frequency
personal information 5
social media 5
big data 5
sensitive information 3

Important Words

  1. asked
  2. campus
  3. carnegie
  4. cluster
  5. database
  6. downloaded
  7. dynamically
  8. experiment
  9. facebook
  10. facial
  11. fill
  12. filling
  13. hundreds
  14. images
  15. laptop
  16. match
  17. matching
  18. mellon
  19. page
  20. participate
  21. photo
  22. photos
  23. profiles
  24. reached
  25. recognizer
  26. shot
  27. started
  28. students
  29. study
  30. subject
  31. subjects
  32. survey
  33. test
  34. thousands
  35. time
  36. university
  37. updated
  38. uploaded
  39. walking
  40. webcam