Key Takeaways
- 54% of U.S. adults got news from TV in 2023, down from 62% in 2020
- Online news consumption reached 86% of U.S. adults weekly in 2023
- 33% of Americans pay for online news in 2023, up from 16% in 2016
- In 2023, the U.S. news industry lost 2,729 journalism jobs, marking the second-highest annual decline on record
- As of 2022, there were approximately 31,000 journalists employed in U.S. newspapers, down 57% from 2008 levels of 71,000
- Women make up 47% of the U.S. journalism workforce in 2023, up from 34% in 2002
- 68% of U.S. news executives cite audience trust erosion as top challenge in 2023
- Misinformation concerns affect 85% of global news consumers in 2023
- 43% of U.S. local newspapers at risk of closure by 2025
- U.S. newspaper ad revenue fell to $8.5 billion in 2022, down 8% from 2021 and 60% from 2006 peak
- Digital advertising for U.S. news media reached $30 billion in 2023, but only 20% went to journalism outlets
- Subscriptions revenue for U.S. newspapers grew to $2.1 billion in 2022, up 22% from 2021
- AI tools adopted by 12% of U.S. newsrooms for content in 2023
- Video content production increased 40% in digital newsrooms since 2020
- 60% of global news outlets use newsletters, averaging 20% open rates in 2023
Americans increasingly get news online, podcasts, and YouTube, while journalism jobs and trust continue to decline.
Audience and Readership
Audience and Readership Interpretation
Employment and Jobs
Employment and Jobs Interpretation
Industry Challenges
Industry Challenges Interpretation
Revenue and Economics
Revenue and Economics Interpretation
Technology and Innovation
Technology and Innovation Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Isabelle Moreau. (2026, February 13). Journalism Industry Statistics. Gitnux. https://gitnux.org/journalism-industry-statistics
Isabelle Moreau. "Journalism Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/journalism-industry-statistics.
Isabelle Moreau. 2026. "Journalism Industry Statistics." Gitnux. https://gitnux.org/journalism-industry-statistics.
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