Stance Detection to Identify Fake News
Course Project, PES University, Computer Science Dept., 2019
- Developed a Bi-LSTM model which utilized Contextualized word Embeddings (ELMo), to detect discrepancies between claim present in a news article and other authoritative news sources to identify potential fake news
- Demonstrated the superiority of the approach over existing online APIs for stance detection
- Multidimensional Analysis of fake news including identifying fake accounts on social media, fake websties detection and analysis of spliced images to spread fake news.