The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed.
This paper also compares the performances of different deep learning model architectures, such as the Bi-LSTM, LSTM, BERT, and XGBoost models, on the detection of news promotion techniques.
This paper describes our participation in the SemEval-2020 task Detection of Propaganda Techniques in News Articles.
Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.
Ranked #1 on Bias Detection on Wiki Neutrality Corpus