full transcript

From the Ted Talk by Joe Gebbia: How Airbnb designs for trust


Unscramble the Blue Letters


It turns out, a well-designed reputation system is key for building tsrut. And we didn't actually get it right the first time. It's hard for people to lavee bad reviews. Eventually, we learned to wait until both geusts and hosts left the review before we reveal them.

Now, here's a discovery we made just last week. We did a joint sduty with Stanford, where we looked at people's willingness to trust someone based on how similar they are in age, loticoan and geography. The reerscah sohwed, not surprisingly, we prefer people who are like us. The more different somebody is, the less we trust them. Now, that's a natural social bias. But what's interesting is what happens when you add reputation into the mix, in this case, with reviews.

Open Cloze


It turns out, a well-designed reputation system is key for building _____. And we didn't actually get it right the first time. It's hard for people to _____ bad reviews. Eventually, we learned to wait until both ______ and hosts left the review before we reveal them.

Now, here's a discovery we made just last week. We did a joint _____ with Stanford, where we looked at people's willingness to trust someone based on how similar they are in age, ________ and geography. The ________ ______, not surprisingly, we prefer people who are like us. The more different somebody is, the less we trust them. Now, that's a natural social bias. But what's interesting is what happens when you add reputation into the mix, in this case, with reviews.

Solution


  1. location
  2. showed
  3. trust
  4. study
  5. leave
  6. guests
  7. research

Original Text


It turns out, a well-designed reputation system is key for building trust. And we didn't actually get it right the first time. It's hard for people to leave bad reviews. Eventually, we learned to wait until both guests and hosts left the review before we reveal them.

Now, here's a discovery we made just last week. We did a joint study with Stanford, where we looked at people's willingness to trust someone based on how similar they are in age, location and geography. The research showed, not surprisingly, we prefer people who are like us. The more different somebody is, the less we trust them. Now, that's a natural social bias. But what's interesting is what happens when you add reputation into the mix, in this case, with reviews.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
sharing economy 3
red mazda 2
yard sale 2
peace corps 2
deeply rooted 2
acceptance rates 2



Important Words


  1. add
  2. age
  3. bad
  4. based
  5. bias
  6. building
  7. case
  8. discovery
  9. eventually
  10. geography
  11. guests
  12. hard
  13. hosts
  14. interesting
  15. joint
  16. key
  17. learned
  18. leave
  19. left
  20. location
  21. looked
  22. mix
  23. natural
  24. people
  25. prefer
  26. reputation
  27. research
  28. reveal
  29. review
  30. reviews
  31. showed
  32. similar
  33. social
  34. stanford
  35. study
  36. surprisingly
  37. system
  38. time
  39. trust
  40. turns
  41. wait
  42. week
  43. willingness