Deepen Your Understanding of The News

Deepen your news understanding with Helium’s balanced feed

Helium’s balanced news feed uses AI news summaries that acknowledge different perspectives to help you understand all sides of the news. Escape your intellectual echo chamber and increase your intelligence by reading from all of the best sources from across the web. Helium also provides media bias analysis for sources as well as an introspective AI bias analysis, so you can better understand the context of what you’re reading.

How Does It Work?

Instead of analyzing media bias in ideological or reductive political terms, Helium uses the following guiding questions to measure news bias:

1.) What topics & ideas do different sources publish more about and less about?

2.) Which topics tend to be written about with highly emotional language?

3.) What ideological perspectives are over/under-represented by sources?

4.) How does media coverage change over time and in response to events? Do they remove content?

5.) Do sources use a lot of prescriptive language (language that tries to disguise opinion as fact)?

Dive deeper into publication media bias and news analysis for any search term. How Helium measures media bias. Updated daily.

What is sentiment analysis?


Sentiment analysis uses statistical patterns in language to try and identify emotional texture. To measure this emotion, Helium uses an (arbitrary) scale from -10 to +10 where 0 is emotionally neutral, -10 is emotionally angry or negative and +10 is emotionally happy or positive.

While emotional pieces of news are not necessarily a bad thing, highly emotional language can be manipulative and ideological. Emotional content is effective at spreading but tends to be less truth-seeking.

Since sentiment analysis doesn’t really “understand” complex ideas and meanings, it should not be interpreted too literally, especially on just one piece of text. This is why sentiment is just one piece of Helium’s news bias analyses. However, over hundreds of articles sentiment analysis is a relatively robust way of measuring how emotionally charged language is used. Helium automatically filters out articles with strongly emotional language from news summaries, enabling you can think clearer.

Deepen Your News Context

Gain deeper context with sentiment analysis, perspective analysis, and mentions-over-time analysis for topics. Orient your interpretation of information within larger narratives and themes to improve your holistic understanding. Step outside from jarring headlines and towards understanding why you read what you read and how to synthesize complex ideas.


With mentions-over-time, each headline is not a singular piece of information, but a small piece of the over-arching ecosystem. Helium gives you the tools to ask questions like:

How does this piece of information fit into the (ever-evolving) greater media landscape?

Is the author using highly-emotional language to try and push my beliefs?

Have articles been deleted? Helium tracks removed articles and provides backups from Archive.

How does the language used describing certain people/events/ideas change over time?

How does the usage or omission of certain topics/perspectives affect how I interpret and assign meaning?

While not perfect, Helium’s empirical tools for understanding global patterns in news coverage can help you gain longer-term insights into the subtleties of interpreting what the news is really communicating. AI News Summaries help you get to the point quicker by reading articles from Helium’s Sources and producing a concise, descriptive summary that acknowledges context-dependent perspectives.