I’m currently working on creating two interactive websites where users can paste their own articles (in the study, we will use fixed material). The first version, NewsUnfold 2.0, generates a short, easy-to-understand explanation of why the article is biased, along with a visualization of the article’s bias below. It then analyzes each sentence for linguistic, framing, and group bias, showing icons for each. Sentences are highlighted based on how much bias they contain. Next to the article, a bias line builds up, showing how bias develops throughout the article. By clicking on the magnifying glass icon, readers can read an explanation of why a particular sentence is biased.

The second version is a gamified bias quiz generator called Neowzuu. Instead of just providing answers, users can test themselves on identifying the biases and receive instant feedback. The quiz is set in a dystopian world where users are part of the resistance, fighting against a biased regime by training nanobots. There will be a group of nanobots growing in one corner of the screen, reacting to the user’s input and expressing different emotions depending on how they answer the question about the article’s overall bias. Users rate the bias on a scale and get immediate feedback on their explanation.

We want to test: a) Which of the applications increases bias detection skills?
b) How do users like Neowzuu and NewsUnfold 2.0 and would they use them in their daily lives?
To test bias detection skills, we will conduct a pre- and post-test after reading two articles, comparing the results with a control group that only reads an article.