SherLock: A CNN, RNN-LSTM Based Mobile Platform for Fact- Checking on Social Media
M. D. P. P. Goonathilake, P. P. N. V. Kumara · KDU International Research Conference 2020 · 2020
Today, false news is easily created and distributed across many social media platforms. Due to that, people find it difficult to choose between right and wrong information on those platforms. Therefore, a strong need emerges to develop a fact-checking platform to overcome this problem. Fact-checking means the process of verifying information. A CNN, RNN-LSTM based mobile solution has proposed from this study to verify information on social media including many features. CNN, RNN-LSTM based hybrid model ables to capture the high-level features and long-term dependencies from the input text. Some of the features of the mobile application includes fact-checking, daily news updates, news reporting and social media trends etc. The mobile solution is developed using Flutter as the front-end framework and Firebase as the back-end framework including REST APIs to gather daily news articles. The hybrid model achieved a 92% accuracy when checking the information circulating on social media.