Huo Jingnan
Huo Jingnan (she/her) is an assistant producer on NPR's investigations team.
She works with journalists in the network and in member stations to produce original, in-depth reporting. She looked into how many homes sold by the Department of Housing and Urban Development are in flood zones and investigated why face mask guidelines differ between countries.
She was the primary data reporter on Coal's Deadly Dust, a project investigating black lung disease's resurgence. The project won an Edward Murrow Award and NASEM Communications award, and was nominated for an Emmy Award and a George Foster Peabody award.
Huo has a master's degree in journalism from Northwestern University in
Evanston, Illinois and a bachelor's degree in law from Southwest University of
Political Science and Law in Chongqing, China.
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The influential website faced multiple defamation suits over conspiracy theories about 2020 election fraud that it's accused of promoting. -
The company dropped its starting prices of its Model X, Model Y and Model S by $2,000 in the U.S. -
The Lyrids meteor shower is active until April 29 and is peaking overnight from Sunday into Monday. To see it, it's best to find an area with trees or a mountain blocking out the moon. -
Images and videos from previous conflicts, video games and AI generators were often spread by accounts that pay to be boosted on the social media site once known as Twitter. -
Four organizations won a FTC contest for their tools that help tell real audio clips from deepfakes. The winners' approaches illuminate challenges AI audio deepfakes pose. -
Now that people can easily create real-sounding voices with artificial intelligence, detection technologies are racing to catch deepfake audio, but it's a tough game of whack-a-mole. -
To talk about the current state of climate disinformation, we checked in with three NPR reporters who have reported on climate, disinformation and the media. -
Some of the rumors and conspiracy theories were driven by the island's history, but others were pushed by social media influencers and foreign governments. -
Research conducted at the height of the 2020 election reveals new details about how Facebook's algorithms handle political content. But it suggests there are no easy fixes to political polarization. -
Recent research shows how generative AI could make effective and cost efficient propaganda. It's difficult to detect AI-generated text, raising concerns about the 2024 election.
