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
July 27, 2022, 12:51 p.m.
LINK: inn.org  ➚   |   Posted by: Laura Hazard Owen   |   July 27, 2022

Local news sites have accounted for 55% of all U.S. nonprofit news sites launched since 2017, and last year, 65% of launches were local, according to the new annual report from the Institute for Nonprofit News.

By 2024, INN projects, local news sites — rather than national or global sites like ProPublica and The Intercept — will make up the bulk of nonprofit news sites.

Most survey respondents appear to have weathered the pandemic. Looking at a smaller cohort of 92 outlets, INN found that two-thirds of them increased their total annual revenue between 2018 and 2021. Foundation funding remains the largest funding source for most outlets surveyed.

Earned revenue remains a “volatile” revenue stream, meanwhile, especially for local nonprofit sites: “Median earned revenue for local outlets dropped in 2020 and again in 2021 to just under $29,000 per outlet, lower by nearly a third than the pre-Covid level.”

And local news nonprofits are increasingly launching in the Southeast and the West, the researchers found: “The number of local startups doubled in these regions compared to the previous two-year period.”

You can read the full report here.

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.”