Detecting Fake News Using Machine Learning

Fake news has had a significant effect on society and politics. To aid in combating the spread of misinformation, we worked to develop machine learning algorithm that could detect fake based textual data. We used count vectorizer vectorize our text which then inputted into Logistic Regression, Support Vector Machine (SVM), Linear Classifier (SVC) models. The greatest accuracy score achieved was 99.97% with SVC. discovered however there difference how real datasets were constructed would not translate life: true articles contained quotation marks, apostrophes, dashes while these characters present articles. Because this, also developed more applicable Regression model removing specific from dataset all together an 98.4%.