Abstract:
Nowadays, Social platform has become an exoteric means for audience to devour news.
The proliferation of perplexing fact in regular access media outlets such as social media
sites, news blogs, and online portals have created it difficult to detect actual news sources,
thus increasing the need for computational tools able to provide clear-sightedness into the
reliability of social media content. Extending fake news in social media is often higher than
traditional news sources. The augmentation of Bangla fake news and its extension on social
media has become a main anxiety due to its caliber to make demolishing dominance.
Different machine learning intercourse have been endeavor to identify English fake news.
But in our survey we bu
to detect fake news from online portal through comparing both true and false ne We also
implemented some advanced deep learning models (CNN,CRNN,GRU,LSTM) that have
shown promising results for detecting fake news. In our research based project we also
build two more models Support Vector k- . We
do comparison between three models for getting better accuracy. We have applied random
forest, SVM and KNN on the same data test set and train set and found that random forest
performs far better than the other two models.
