FURI | Spring 2021
Understanding Machine vs Human Generated Text in News Articles
The aim of this research is to create a model that can take a text input to classify the content of the message into two categories, Machine Generated and Human Written. This research uses Hierarchical Attention Networks (HAN) trained with PolitiFact data to create the predictive model. This model can be run by websites for helping prevent disinformation. In the future, HAN can be trained to infer not only from words and sentences but also from the paragraphs, which can potentially provide more insight.
Hometown: Ankara, Incek, Turkey
Graduation date: Fall 2021