Detecting bias in Philippine political news with machine learning

The internet can be considered as a news source for most users where they can obtain information at the click of a button. However, information can be falsified, and biased news can be found commonly circulating online nowadays. Exploring the fight against misinformation and biased media, this insightful study sheds light on biases within political narrative, employing the use of machine learning such as “Inverse Reinforcement Model” and “SentiWordNet” to detect such biases written in online articles.

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