Abstract:
Nowadays political people or other people are spreading fake news for their own
benefit. Ordinary people easily believe these fake news. As a result, riots are
spreading among the people across the country which is risky for a developing
country. In this paper, we are working to detect fake news and provide a model for
checking fake news. We collected our dataset which has different type of news and
labeled them as 0 and 1, which means true and fake respectively. For detecting the
fake news we use Long Short-Term Memory, Bidirectional Long-Short Term
Memory and Random Forest algorithms in our dataset and compared the results
among these model for checking which one gives us a better result. After our
experiment we found that Random Forest algorithm had 87.75% accuracy to detect
the fake news.
