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Curiosity Weekly

Sniff Out Fake News with Machine Learning and Increase Productivity with Don’t-Do Lists and Morning Pages

Curiosity Weekly

Warner Bros. Discovery

Science

4.6963 Ratings

🗓️ 12 November 2018

⏱️ 8 minutes

🧾️ Download transcript

Summary

Learn how to sniff out fake news with help from machine learning from MIT; how you can improve your to-do list with a “don’t-do” list; and how to maximize your creativity with a simple change in your morning routine.

In this podcast, Cody Gough and Ashley Hamer discuss the following stories from Curiosity.com to help you get smarter and learn something new in just a few minutes:

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Full episode transcript here: https://curiosity-daily-4e53644e.simplecast.com/episodes/sniff-out-fake-news-with-machine-learning-and-increase-productivity-with-dont-do-lists-and-morning-pages


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Transcript

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0:00.0

Hi, we've got three stories from Curiosity.com to help it get smarter in just a few minutes.

0:05.4

I'm Cody Gough.

0:06.2

And I'm Ashley Hamer.

0:07.3

Today you learn how to sniff out fake news with help from machine learning from MIT,

0:12.0

how you can improve your to-do list, and how to maximize your creativity

0:16.9

with a simple change in your morning routine.

0:19.2

That's satisfy some curiosity on the award-winning Curiosity Daily.

0:23.0

Researchers at MIT are using machine learning to sniff out fake news,

0:27.0

and their findings might help you sniff out fake news.

0:30.0

And this story is not fake news.

0:32.0

Sure, that's just the thing a fake news serve would say.

0:35.5

Same team, Cody, same team.

0:37.5

Oh, right, yeah, sorry.

0:38.9

So this isn't the first time somebody has tried to figure out a way to get rid of fake news.

0:43.0

Facebook specifically has tried both human-moderated news filters and AI-based ones

0:48.0

with questionable success in both cases.

0:51.0

That's where MIT comes in. Their computer science and artificial intelligence lab worked with

0:55.9

the Qatar Computing Research Institute to employ machine learning systems. Those can make

1:00.6

surprisingly accurate predictions based on surprisingly little data.

1:04.3

Broadly speaking, a machine learning system works by attempting to make a prediction,

1:08.8

then adjusting its next prediction based on the accuracy of the previous one. The result is that

1:13.6

after having run through this process several thousand or million times the

...

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