Bias Scanner Project

Table of Contents

• About
• Team
• Links
• Contact

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.

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.
• Privacy Matters: We're big on privacy - no storing your personal info, ever. We only keep information about the news stories you read when you say explicitly donate them for our research.

How to install

• Firefox:

  • open Firefox
  • enter "about:debugging" in the URL bar click "This Firefox"
  • click "Load Temporary Add-on"
  • open the /browser_extension directory and select the manifest.json

• Chrome:

  • delete or rename the manifest.json in the /browser_extension directory
  • copy manifest_chrome.json from /browser_extension/manifests to /browser_extension
  • rename the manifest_chrome.json to manifest.json
  • open Chrome
  • enter "chrome://extensions/" in the url bar
  • click "Loadunpacked"
  • select the /browser_extension directory

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 through the application), you not only help yourself but also contribute to ongoing research on bias in news. Let's work together to make online news a more reliable source of information.

Thanks for being a part of the Bias Scanner Project – let's keep the internet news-savvy and bias-free!

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).

Links

• Website (including demo)
• Firefox
• Chrome (will be added when officially published)
• Android (extension for Firefox Android)
• iOS (will be added when officially published)

Contact Us

If you have any questions or would like to get involved, feel free to contact us at tim.menzner@hs-coburg.de .