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
- empathy
- online
- emotional
- politics
- 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 |
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machine learning |
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build technology |
2 |
Important Words
- build
- commenters
- conversation
- dialogue
- efficient
- emotional
- empathy
- expressions
- facial
- feedback
- gauge
- give
- imagine
- impact
- land
- landing
- language
- learning
- machine
- making
- means
- mistakes
- moderators
- online
- opportunity
- people
- perfect
- plenty
- politics
- reinvigorate
- spaces
- technology
- typing
- understands
- values
- words
- worldviews