How Policing Content Fell Out of Fashion at Meta

WSJ Tech News Briefing

The Wall Street Journal

News, Tech News

4.6 • 1.6K Ratings

🗓️ 9 January 2025

⏱️ 12 minutes

🔗️ Recording | iTunes | RSS

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Summary

Meta will no longer use third-party fact checking on its social-media platforms in the U.S., following X’s example in using community-based notes instead. WSJ’s technology reporter Alexa Corse joins host James Rundle to discuss the reasons behind Meta’s decision and what users can expect next. Plus, how investors are selecting the winners in the crowded field of artificial intelligence-powered healthcare startups. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:33.8	Welcome to Tech News Briefing. It's Thursday, January the 9th. I'm James Rundle for the Wall Street Journal.
0:40.0	Healthcare is being bombarded with startups claiming that artificial intelligence gives them an edge over their rivals.
0:45.9	Venture capital firms are being forced to sort the opportunity from the hype.
0:49.9	We'll find out what investors are looking out for and avoiding.
0:53.3	And then, Meta's decision to end fact-checking on Facebook and Instagram, starting in the
0:57.8	US, has reignited the debate over the role social media companies play in monitoring what's
1:02.6	posted to their platforms. Our technology reporter Alexa Korse tells us how the change could affect
1:08.3	users and advertisers.
1:18.3	But first, amid a deluge of healthcare start-ups looking to solve everything from global pandemics to ultra-specific diseases with AI, the market is starting to look crowded.
1:24.2	And when it comes to wooing investors, many companies make the same mistakes.
1:28.3	WSJ reporter Brian Gormley joins us now to talk about what doesn't work and what does in the world of healthcare AI.
1:35.1	Brian, what are some of the common pitfalls that startups face?
1:38.0	Future capitalists are looking for companies that have kind of a right mix of data, technological expertise, healthcare expertise, and understanding of the healthcare marketplace.
1:51.0	And not all companies have all those ingredients. Some of them don't have a very strong data to train their algorithms.
1:59.3	Some of them don't have enough expertise in health care,
2:02.2	to understand the dynamics of the marketplace. Some of them may not have enough understanding
2:07.3	of the market opportunity and where is the best application for their technology. So those are
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