full transcript

From the Ted Talk by Sandersan Onie: How targeted ads might just save your life

Unscramble the Blue Letters


So what if we could use the same algorithms that these tech companies use to tailor ads to us to be able to identify and rceah out to individuals tiinkhng of suicide? And we use information, their age, gender, laaugnge and geography, to do so in a deeply personal and engaging way.

So what does this look like? imiagne, Amy, a 22-year-old girl living in Sydney. She lives with her housemates, and despite her cheerful demeanor, she's recently been having thoughts of suicide. She's tried talking to her family mmerebs, but they haven't been particularly helpful. And today she turned to the scraeh page to find a way to end it all. And as she's sancerihg, the algorithm triggers, and on the very first line, she sees an ad that leads her to a landing page. And that ldninag page is designed to lead her away from a suicide atemtpt. Now, on that page, she's not met with overly fluffy language or with dteviirecs, "You have to do this, you have to do that," but rather, she's met with stories of other people who've been where she is. And after hearing their stories, she finally decides to seek help through one of the many options available.

Open Cloze


So what if we could use the same algorithms that these tech companies use to tailor ads to us to be able to identify and _____ out to individuals ________ of suicide? And we use information, their age, gender, ________ and geography, to do so in a deeply personal and engaging way.

So what does this look like? _______, Amy, a 22-year-old girl living in Sydney. She lives with her housemates, and despite her cheerful demeanor, she's recently been having thoughts of suicide. She's tried talking to her family _______, but they haven't been particularly helpful. And today she turned to the ______ page to find a way to end it all. And as she's _________, the algorithm triggers, and on the very first line, she sees an ad that leads her to a landing page. And that _______ page is designed to lead her away from a suicide _______. Now, on that page, she's not met with overly fluffy language or with __________, "You have to do this, you have to do that," but rather, she's met with stories of other people who've been where she is. And after hearing their stories, she finally decides to seek help through one of the many options available.

Solution


  1. searching
  2. search
  3. attempt
  4. landing
  5. language
  6. members
  7. imagine
  8. reach
  9. directives
  10. thinking

Original Text


So what if we could use the same algorithms that these tech companies use to tailor ads to us to be able to identify and reach out to individuals thinking of suicide? And we use information, their age, gender, language and geography, to do so in a deeply personal and engaging way.

So what does this look like? Imagine, Amy, a 22-year-old girl living in Sydney. She lives with her housemates, and despite her cheerful demeanor, she's recently been having thoughts of suicide. She's tried talking to her family members, but they haven't been particularly helpful. And today she turned to the search page to find a way to end it all. And as she's searching, the algorithm triggers, and on the very first line, she sees an ad that leads her to a landing page. And that landing page is designed to lead her away from a suicide attempt. Now, on that page, she's not met with overly fluffy language or with directives, "You have to do this, you have to do that," but rather, she's met with stories of other people who've been where she is. And after hearing their stories, she finally decides to seek help through one of the many options available.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
landing page 5
search page 4
tailor ads 3
suicide attempt 3
attempt suicide 2
text message 2
attempted suicide 2
deeply personal 2
landing pages 2
age group 2
single person 2


Important Words


  1. ad
  2. ads
  3. age
  4. algorithm
  5. algorithms
  6. amy
  7. attempt
  8. cheerful
  9. companies
  10. decides
  11. deeply
  12. demeanor
  13. designed
  14. directives
  15. engaging
  16. family
  17. finally
  18. find
  19. fluffy
  20. gender
  21. geography
  22. girl
  23. hearing
  24. helpful
  25. housemates
  26. identify
  27. imagine
  28. individuals
  29. information
  30. landing
  31. language
  32. lead
  33. leads
  34. line
  35. lives
  36. living
  37. members
  38. met
  39. options
  40. overly
  41. page
  42. people
  43. personal
  44. reach
  45. search
  46. searching
  47. seek
  48. sees
  49. stories
  50. suicide
  51. sydney
  52. tailor
  53. talking
  54. tech
  55. thinking
  56. thoughts
  57. today
  58. triggers
  59. turned