Bias Scanner Project

About Us

Welcome to the Bias Scanner Project! We're all about using technology to tackle bias in online news. Bias Scanner is here to help you navigate the sometimes tricky world of online news, so you can make more informed choices about what you read.

Why BiasScanner?

In today's world, many of us get our news from the internet. Unfortunately, the web is also home to a lot of biased reporting, fake news, and other not-so-great stuff. Bias Scanner was created to give you a hand in spotting bias when you're reading news articles online.

What's BiasScanner All About?

BiasScanner is a handy browser plug-in that uses some fancy machine learning tech to find sentences in news articles that might be biased. It works right in your web browser, highlighting potentially biased sentences as you read. If you want to dive deeper, it can even give you a more detailed analysis of the article. The main point is not necessarily to ultimately decide what is biased and what is not. Rather, we want to raise awareness of the issue and encourage discussions and reflections.

Why It's Cool:

  • Inline Highlighting: It helps you spot potential bias as you read.
  • Detailed Analysis: If you're curious, it can provide a more in-depth look at the article.
  • Bias Strength: It rates how strong the detected bias is, from 0 to 1.
  • Multilingual Magic: BiasScanner not only speaks fluent English and German but also understands a plethora of other languages when it comes to dissecting news articles.
  • Privacy Matters: We're big on privacy - no storing your personal info, ever. We only keep (anonymized) information about the news stories you read when you explicitly donate them for our research.

Join Us in the Fight Against Bias

We believe technology can make news consumption better and protect democracy. So, why not give BiasScanner a try? By using it (and maybe even sharing interesting results with us trough the application), you not only help yourself, but you also contribute to ongoing research on bias in news. Let's work together to make online news a more reliable source of information.


Try out the live demo!

Would you like to know more?

Our Team

(Bias Scanner is being developed by the Information Access Research Group (IARG) of the Center for Responsible Artificial Intelligence (CRAI) at Coburg University of Applied Sciences. The group members include: Jochen Leidner, Tim Menzner (mainly responsible for Bias Scanner), Michael Reiche and Markos Dimitsas).

Contact Us

If you have any questions or would like to get involved, feel free to contact us at

tim.menzner@hs-coburg.de