This tool detects media bias using OpenAI's GPT-4
Episode Description
Concerns about news coverage around events like an election often focus on false information. But what about news that is factually accurate, yet biased?
Enter the Media Bias Detector, the latest product of Wharton professor Duncan Watts' years of research into media coverage and consumption, created to address one of Watts' key findings: that biased news can be more dangerous than "fake news."
The free tool tracks and analyzes articles from top publishers in close to real time, providing, in Watts' words, "regular people with a powerful, useful resource to better understand how major events, like this election, are being reported on."
The popularization of @OpenAI's ChatGPT provided a breakthrough moment for the CSSLab at Penn – a joint venture between Wharton, Penn Engineering and the Annenberg School for Communication – to develop and launch the Detector, as the lab's researchers designed it around OpenAI's GPT infrastructure.
Learn more and explore the tool: http://whr.tn/mediabiasdetector
Brief Summary
The episode covers media bias and the Media Bias Detector project at Penn.
Key points
- Understanding Media Bias. This project uncovers how bias manifests in journalism, beyond just misinformation.
- The Media Bias Detector. A tool to help consumers understand media choices and biases in real-time.
