Nieman Foundation at Harvard
HOME
          
LATEST STORY
From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
ABOUT                    SUBSCRIBE
Sept. 1, 2017, 11:22 a.m.
LINK: www.nytco.com  ➚   |   Posted by: Shan Wang   |   September 1, 2017

The New York Times will now also be competing for philanthropic funding for journalism.

On the heels of the Guardian’s Monday announcement that it would be setting up a U.S.-based philanthropic arm to raise money from individuals and organizations, the Times announced on Friday that Times veteran Janet Elder will helm a new division focused on securing nonprofit funding sources for its journalism, as well as potential local partners.

From the Times’s press release on the direction of new initiative:

Some easy possibilities come to mind. The New York Times Student Journalism Institute, for example, has nurtured a generation of minority journalists who have enriched our newsroom. Perhaps with additional support the program can help develop talent for the industry as a whole. We also believe that The Times can help with the growing crisis in local news coverage by partnering with other institutions around the country. But mainly, we think there are journalism projects we are eager to pursue that could be more ambitious and have greater impact with outside support.

As was the case when the Guardian formally announced theguardian.org, some questions immediately arose about the increased competition for nonprofit funding of journalism:

Show tags
 
Join the 60,000 who get the freshest future-of-journalism news in our daily email.
From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam
Within days of visiting the pages — and without commenting on, liking, or following any of the material — Facebook’s algorithm recommended reams of other AI-generated content.
What journalists and independent creators can learn from each other
“The question is not about the topics but how you approach the topics.”
Deepfake detection improves when using algorithms that are more aware of demographic diversity
“Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect.”