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News without manipulation.

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Get news in our dataset between September 2020 to August 2021.

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Total volatility

Our news ecosystem is mostly negative and this increases its volatility.

Negative 46%
Positive 36%
Neutral 19%

See how we calculate these scores and check our codebook for more information.

News volatility follows news article volume. As news is produced at higher levels, emotional volatility becomes heightened and the gap between Negative and Positive stories increases.

This type of behavior is present in systems that are easily manipulated, even when there are tight controls and regulations in place, including the stock market. In fact, this phenomenon partially mirrors something in market manipulation called the "pump-and-dump" scheme.


Frequently asked questions

We do small data. Small, representative data is just as effective as big, representative data. With small data, you have to be focused because it requires a solid sampling methodology, consistent operationalization, and strong data pipelines. This dataset follows all the best practices and gives you powerful insights into our news media ecosystem.

Yes. A wave just means additional data to the dataset. We are working to release our subscription plan and this has taken priority.

Of course! Our public outrage evaluator analyzes news articles for emotional context, giving users a volatility baseline. We think it should be used to determine if a journalist is unwittingly caught up in their own emotions, as this would compromise their ability to convey important news-related information.

More questions?

We do small data.

Our open source dataset focuses on news headlines.

Start exploring our dataset.


Did you know news headlines are some of the most widely consumed pieces of content on the internet?


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