Using Ai to give you every point of view in a single story.
We all have an Idea in our minds as to what "Fake News" is, but universally it is a matter of trust.
Citefull consumes thousands of articles a day - we grade and sort it - then use Generative Ai to compile trusted news that is free of Bias, Sensationalism and Omissions.
Get news from every POV - all in one article.
Click to explore some examples
No More Echo Chambers.
Make up your own mind.
We don't take sides and we don't aggregate news— we aggregate facts.
We compile thousands of article a day from hundreds of different sources. Not so we can pick the best one and share that with you- but so that we can get all sides of a story and compile all the information in one place.
You get every side of the story without having to read thousands of articles.
So Many POV's
News is complex
When looking for "fake news" we actually find that most mainstream media isn't lying to you, however they are omitting the part they don't want to talk about.
All our prompts are instructed to remove Bias, Sensationalism and Omissions.
This way you can understand where both sides are coming from without having to read multiple articles and navigate bias.
Citefull Sources
Know where we get our information
Most generative AI is a black box of content.
We know that trust is earned so we made it easy to dig in and explore our source material.
If you scroll left, you will see more liberal sources, if you scroll right, they will get more conservative.
Just click to dig in.
Digging in
We make research easy
We not only make it easy to get to the articles that we use to generate content, but we also do an in depth analysis on each one.
We look at individual articles and try to identify the value in each making research on a topic seamless.
Want to know just the facts from a single article? We do that too.
Be the trusted authority on news that EVERYONE loves.
The Skeptic
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The Defender
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Our
Story
Citefull started as a "fix for fake news"
We realized early in 2019 that news was often subjective, when it should be objective. We saw this as a solvable problem.
Our first product was a graded news aggregator, it failed spectacularly. Confirmation biases are just too strong.
We then realized that readers will often read the same news from multiple sources so that they can overcome bias, sensationalism and omissions.
We now aim to amplify well rounded, non biased content sourced from everywhere, all at once.