Bill Zheng, USA
In the current political climate, mass media was depicted as highly divisive and inaccurate while many cannot efficiently identify its bias presented in the news. Using research regarding keywords in the current political environment, we have designed an algorithm that detects and quantifies political, opinion, and satirical biases present in current day articles. Our algorithm makes use of scipy’ssklearn linear regression model and multiple regression model to automatically identify the bias of a news article based on a scale of 0 to 3 (-3 to 3 in political bias detection) to automatically detect the bias presented in a news source. The usage of this algorithm on all three segments, politics, opinion, and satire has been proven effective, and it enables an average reader to accurately evaluate the bias in a news source.