Tired of biased reporting, overly complex articles, or dull write-ups? With NewsShift you can just slide to adjust the style of articles — without compromising on what really happened and backed by scientific research.
Get notified when we're launching and see how easy it is to make the news work for you.
Try our interactive demo to experience how NewsShift transforms news articles to match your preferences while maintaining factual accuracy.
At the core of NewsShift is a multi-agent AI system with human oversight to ensure the highest quality of news articles.
We aggregate news articles from a variety of sources, which form the basis of the multiple article styles our AI system generates.
We ensure that the core facts are consistent across versions and sources to maintain accuracy and ensure you're not missing out on important information.
Our editing system reviews and revises all articles, flagging content that requires human review. Articles that pass this quality check are then published for your reading.
Click on the steps in the diagram to learn more about each step.
Click on the steps in the diagram to learn more about each step.
NewsShift is based on an academic research project where we find that customization increases news satisfaction.
The chart shows the decrease in dissatisfaction between groups.
We conducted a study giving two groups access to NewsShift with and without customization options.
The share of users reporting being dissatisfied with the news was cut in half.
Customization had no negative effects on news knowledge or polarization.
The chart shows the decrease in dissatisfaction between groups.
We are a team of researchers from leading institutions worldwide, dedicated to understanding how people consume and process news. Our diverse academic backgrounds in media economics, behavioral science, AI, and business drive our mission to empower readers to experience the news on their own terms.
AI Customization and the Market for News
Felix Chopra, Ingar Haaland, Fabian Roeben, Chris Roth & Vanessa Sticher
Coming soon!
Conducting Qualitative Interviews with AI
Felix Chopra & Ingar Haaland
Working Paper, 2024
The Demand for News: Accuracy Concerns versus Belief Confirmation Motives
Felix Chopra, Ingar Haaland & Chris Roth
The Economic Journal, Vol. 134(661), 2024, pp. 1806-1834.
Do People Demand Fact-Checked News? Evidence From U.S. Democrats
Felix Chopra, Ingar Haaland & Chris Roth
Journal of Public Economics, 2022, Vol. 205, 104549.
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