full transcript

From the Ted Talk by Yasmin Green: How technology can fight extremism and online harassment


Unscramble the Blue Letters


But this is about way more than just making moderators more efficient. Right now I can see you, and I can gauge how what I'm saying is landing with you. You don't have that opportunity online. Imagine if machine learning could give commenters, as they're typing, real-time feedback about how their words might land, just like facial expressions do in a face-to-face conversation. Machine learning isn't perfect, and it still makes plenty of mistakes. But if we can build technology that understands the eaotimonl ipmcat of language, we can build emathpy. That means that we can have dialogue between people with different piocltis, different worldviews, different values. And we can reinvigorate the spaces onlnie that most of us have given up on.

Open Cloze


But this is about way more than just making moderators more efficient. Right now I can see you, and I can gauge how what I'm saying is landing with you. You don't have that opportunity online. Imagine if machine learning could give commenters, as they're typing, real-time feedback about how their words might land, just like facial expressions do in a face-to-face conversation. Machine learning isn't perfect, and it still makes plenty of mistakes. But if we can build technology that understands the _________ ______ of language, we can build _______. That means that we can have dialogue between people with different ________, different worldviews, different values. And we can reinvigorate the spaces ______ that most of us have given up on.

Solution


  1. empathy
  2. online
  3. emotional
  4. politics
  5. impact

Original Text


But this is about way more than just making moderators more efficient. Right now I can see you, and I can gauge how what I'm saying is landing with you. You don't have that opportunity online. Imagine if machine learning could give commenters, as they're typing, real-time feedback about how their words might land, just like facial expressions do in a face-to-face conversation. Machine learning isn't perfect, and it still makes plenty of mistakes. But if we can build technology that understands the emotional impact of language, we can build empathy. That means that we can have dialogue between people with different politics, different worldviews, different values. And we can reinvigorate the spaces online that most of us have given up on.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
spaces online 3
online harassment 2
emotional impact 2
machine learning 2
build technology 2



Important Words


  1. build
  2. commenters
  3. conversation
  4. dialogue
  5. efficient
  6. emotional
  7. empathy
  8. expressions
  9. facial
  10. feedback
  11. gauge
  12. give
  13. imagine
  14. impact
  15. land
  16. landing
  17. language
  18. learning
  19. machine
  20. making
  21. means
  22. mistakes
  23. moderators
  24. online
  25. opportunity
  26. people
  27. perfect
  28. plenty
  29. politics
  30. reinvigorate
  31. spaces
  32. technology
  33. typing
  34. understands
  35. values
  36. words
  37. worldviews