Back To Projects

Biased News Detection Using Artificial Intelligence

Arianna H.

Biased news has become especially problematic in modern times. In this paper, we investigate the abilities of various machine learning models to correctly identify biased news. Our results indicate that artificial intelligence is very capable of doing this detection. In particular, both logistic regression and K-nearest neighbor classifier performed rather well in cross validation.


Biased news has become especially problematic in modern times. In this paper, we investigate the abilities of various machine learning models to correctly identify biased news. Our results indicate that artificial intelligence is very capable of doing this detection. In particular, both logistic regression and K-nearest neighbor classifier performed rather well in cross validation.

Explore More!

Arianna H.
Matteo Santamaria
Mathematical & Computational Engineering MS from Stanford, Data Scientist at infima

Related Projects

Fake News Detection with BERT

In this paper, we propose a fake news detection model using a fine-tuned BERT (Bidirectional Encoder Representations from Transformers) model.
David S.
Mentored by Roger Jin
Fake News Classification

As fake news becomes more of a problem across the US, its consequences are becoming more and more damaging. This project aims to combat this disinformation through an artificial intelligence algorithm that can classify real articles versus fake ones.
Roshni K.
Mentored by Philip Bell
workspace_premium
The Use of Artificial Intelligence in Gravitational Microlensing Detection for Dark Matter Discoveries

This research utilizes Artificial Intelligence to enhance the speed and accuracy of microlensing detection using data from 600,000 stars observed by The Zwicky Transient Facility. Through comparative analysis and hyperparameter tuning, the KNN model was identified as the most accurate, achieving 97% accuracy in detecting microlensing events, which may include dark matter, within the Milky Way.
Suhaan K.
Mentored by Tony Rodriguez