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Detecting News Bias with Machine Learning
Max Tegmark, firstname.lastname@example.org
The goal of this project is to use modern techniques from the machine-learning field of natural language processing (NLP) to help improve the quality of news media, moving beyond traditional manual fact-checking to scalable NLP-based quality checks capable of detecting more subtle biases such as omissions and skewed language.
Ability to program in Python, interest in current events, urge to use technology for good. Experience in machine learning is a strong plus, but not required.