@article{article_984460, title={Detecting Fake News on Big Data}, journal={Researcher}, volume={01}, pages={1–5}, year={2021}, author={Subaşı, Begüm and Beral, Hilalnur and Güleç, Nilüfer and Dökeroğlu, Tansel}, keywords={Sahte Haberler, makine öğrenmesi, büyük veri, sınıflandırma}, abstract={In this study, we developed a new framework for detecting fake news, which has recently become a significant problem in social media. We compared the performances of different machine learning approaches. It becomes a challenging problem to detect fake news effectively. Apache Spark’s machine learning environment, where many processors can work simultaneously, offers a very suitable environment for dealing with big data classification problems. After experiments using Naïve Bayes, Neural Network, Logistic regression, and Support Vector Machine on large datasets we obtained on Kaggle showed that our software can report up to 99% accuracy rates.}, number={02}, publisher={Ankara Bilim Üniversitesi}