Tamar Charney

Tamar Charney is the Managing Director for Personalization and Curation. In this role, she creates and executes new editorial strategies for programming a unique and customizable mix of the best international, national, and local public radio news that is blended with hand curated podcasts. Previously, she held the title of Managing Editor of NPR One.

Prior to managing the content strategy for NPR's state of the art mobile app, Charney was the Program Director of Michigan Radio where she managed on-air, online, and news strategy, as well as operations. Before, that she produced talk shows, documentaries, and news programs for the station and previously had been a reporter and editor at Michigan Radio. She has held a variety of jobs at other public radio stations including WDET and WEMU. On the side, she writes and does voice-overs for a variety of clients.

End of year "best of" lists can be very revealing — in this case offering a peek into the world of our audience and what resonated with the most people.

This year was filled with big news stories. The ones that grabbed the attention of NPR One listeners, the ones they spent the most time listening to, included President Trump's press conference with Russian President Vladimir Putin in Helsinki, and CNN's lawsuit seeking to reinstate correspondent Jim Acosta's White House press pass.

NPR announced the hiring of Anne Li for the NPR One Editorial/Personalization and Curation team as the Emerging Platform Lead . Read more below in an note shared with newsroom staff by Tamar Charney.

Dear All,

At NPR, we know there's a difference between the news that you listen to, and the stories you love.

This year, there was a lot of news that grabbed your attention: several major hurricanes; a new president in office who is ripping up the conventions of Washington; and terrorist attacks both at home and abroad. But we also reported on stories that help us understand how to make our lives better and what makes us human beings tick. The former types of stories we feel we need to know about, the latter we enjoy knowing about.

Algorithms are a crucial part of how the news reaches you in a digital world. But we know many people find them opaque and controversial. Filter Bubble is an expression coined to capture the way an algorithm can measure what you like and just feed you more and more of that until all you get is one perspective.

We want to raise the curtain and explain how we use an algorithm at NPR One.