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What should the media learn from coronavirus?
Media Type |
audio
Publication Date |
Apr 30, 2020
Episode Duration |
01:36:39
The coronavirus is “a nightmare scenario” for media, wrote New York Times columnist Charlie Warzel. “It is stealthy, resilient and confounding to experts. It moves far faster than scientists can study it. What seems to be true today may be wrong tomorrow.” Warzel is right. We’ve talked a lot in recent years about fake news. But combatting information we know is false is a straightforward problem compared to covering a story where we don’t know what’s true, and where yesterday’s expert consensus becomes tomorrow’s derided falsehoods. In these cases, the normal tools of journalism begin to fail, and trust is easily lost. There’s been a lot of criticism of what the media missed in the run-up to coronavirus. Some of it has been unfair. But some of it demands attention, reflection, and change. There’s also a lot the media got right, and those successes need to be celebrated and learned from. The questions raised here are hard, and go to one of the trickiest issues in journalism: how does a profession that prides itself on reporting truth cover the world probabilistically? What do we do when we simply can't know what's true, and when some of what we think we know might become untrue? Warzel covers the way technology, information, and media interact with and change each other. He’s one of the people I turn to first when I’m churning over these questions, which is…not infrequent. And so what you’re going to hear in this podcast is a bit different than the normal fare: this is less an interview-with-an-expert, and more the kind of conversation that I — and others in the media — am having a lot of right now, and that I think we at least need to try and have in public.  References: What went wrong with the media’s coronavirus coverage? by Peter Kafka, Recode What we pretend to know about the coronavirus could kill us, by Charlie Warzel, NYT Book recommendations: The Uninhabitable Earth by David Wallace-Wells Nothing to See Here by Kevin Wilson Uncanny Valley by Anna Wiener If you enjoyed this episode, check out: Is the media amplifying Trump's racism? (with Whitney Phillips) Want to contact the show? Reach out at ezrakleinshow@vox.com Please consider making a contribution to Vox to support this show: bit.ly/givepodcasts Your support will help us keep having ambitious conversations about big ideas. The Ezra Klein Show is a finalist for a Webby! Make sure to vote at https://bit.ly/TEKS-webby New to the show? Want to check out Ezra’s favorite episodes? Check out the Ezra Klein Show beginner’s guide (http://bit.ly/EKSbeginhere) Credits: Producer/Editor - Jeff Geld Researcher - Roge Karma Learn more about your ad choices. Visit podcastchoices.com/adchoices
The coronavirus is “a nightmare scenario” for media, wrote New York Times columnist Charlie Warzel. “It is stealthy, resilient and confounding to experts. It moves far faster than scientists can study it. What seems to be true today may be wrong tomorrow.” Warzel is right. We’ve talked a lot in recent years about fake news. But combatting information we know is false is a straightforward problem compared to covering a story where we don’t know what’s true, and where yesterday’s expert consensus becomes tomorrow’s derided falsehoods. In these cases, the normal tools of journalism begin to fail, and trust is easily lost. There’s been a lot of criticism of what the media missed in the run-up to coronavirus. Some of it has been unfair. But some of it demands attention, reflection, and change. There’s also a lot the media got right, and those successes need to be celebrated and learned from. The questions raised here are hard, and go to one of the trickiest issues in journalism: how does a profession that prides itself on reporting truth cover the world probabilistically? What do we do when we simply can't know what's true, and when some of what we think we know might become untrue? Warzel covers the way technology, information, and media interact with and change each other. He’s one of the people I turn to first when I’m churning over these questions, which is…not infrequent. And so what you’re going to hear in this podcast is a bit different than the normal fare: this is less an interview-with-an-expert, and more the kind of conversation that I — and others in the media — am having a lot of right now, and that I think we at least need to try and have in public.  References: What went wrong with the media’s coronavirus coverage? by Peter Kafka, Recode What we pretend to know about the coronavirus could kill us, by Charlie Warzel, NYT Book recommendations: The Uninhabitable Earth by David Wallace-Wells Nothing to See Here by Kevin Wilson Uncanny Valley by Anna Wiener If you enjoyed this episode, check out: Is the media amplifying Trump's racism? (with Whitney Phillips) Want to contact the show? Reach out at ezrakleinshow@vox.com Please consider making a contribution to Vox to support this show: bit.ly/givepodcasts Your support will help us keep having ambitious conversations about big ideas. The Ezra Klein Show is a finalist for a Webby! Make sure to vote at https://bit.ly/TEKS-webby New to the show? Want to check out Ezra’s favorite episodes? Check out the Ezra Klein Show beginner’s guide (http://bit.ly/EKSbeginhere) Credits: Producer/Editor - Jeff Geld Researcher - Roge Karma Learn more about your ad choices. Visit podcastchoices.com/adchoices

The coronavirus is “a nightmare scenario” for media, fake-news.html">wrote New York Times columnist Charlie Warzel. “It is stealthy, resilient and confounding to experts. It moves far faster than scientists can study it. What seems to be true today may be wrong tomorrow.”

Warzel is right. We’ve talked a lot in recent years about fake news. But combatting information we know is false is a straightforward problem compared to covering a story where we don’t know what’s true, and where yesterday’s expert consensus becomes tomorrow’s derided falsehoods. In these cases, the normal tools of journalism begin to fail, and trust is easily lost.

There’s been a lot of criticism of what the media missed in the run-up to coronavirus. Some of it has been unfair. But some of it demands attention, reflection, and change. There’s also a lot the media got right, and those successes need to be celebrated and learned from. The questions raised here are hard, and go to one of the trickiest issues in journalism: how does a profession that prides itself on reporting truth cover the world probabilistically? What do we do when we simply can't know what's true, and when some of what we think we know might become untrue?

Warzel covers the way technology, information, and media interact with and change each other. He’s one of the people I turn to first when I’m churning over these questions, which is…not infrequent. And so what you’re going to hear in this podcast is a bit different than the normal fare: this is less an interview-with-an-expert, and more the kind of conversation that I — and others in the media — am having a lot of right now, and that I think we at least need to try and have in public. 

References:

What went wrong with the media’s coronavirus coverage? by Peter Kafka, Recode

fake-news.html">What we pretend to know about the coronavirus could kill us, by Charlie Warzel, NYT

Book recommendations:

The Uninhabitable Earth by David Wallace-Wells

Nothing to See Here by Kevin Wilson

Uncanny Valley by Anna Wiener

If you enjoyed this episode, check out:

Is the media amplifying Trump's racism? (with Whitney Phillips)

Want to contact the show? Reach out at ezrakleinshow@vox.com

Please consider making a contribution to Vox to support this show: bit.ly/givepodcasts Your support will help us keep having ambitious conversations about big ideas.

The Ezra Klein Show is a finalist for a Webby! Make sure to vote at https://bit.ly/TEKS-webby

New to the show? Want to check out Ezra’s favorite episodes? Check out the Ezra Klein Show beginner’s guide (http://bit.ly/EKSbeginhere)

Credits:

Producer/Editor - Jeff Geld

Researcher - Roge Karma

Learn more about your ad choices. Visit podcastchoices.com/adchoices

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