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Ternion: An Autonomous Model for Fake News Detection
| Content Provider | MDPI |
|---|---|
| Author | Islam, Noman Shaikh, Asadullah Qaiser, Asma Asiri, Yousef Almakdi, Sultan Sulaiman, Adel Moazzam, Verdah Babar, Syeda Aiman |
| Copyright Year | 2021 |
| Description | In recent years, the consumption of social media content to keep up with global news and to verify its authenticity has become a considerable challenge. Social media enables us to easily access news anywhere, anytime, but it also gives rise to the spread of fake news, thereby delivering false information. This also has a negative impact on society. Therefore, it is necessary to determine whether or not news spreading over social media is real. This will allow for confusion among social media users to be avoided, and it is important in ensuring positive social development. This paper proposes a novel solution by detecting the authenticity of news through natural language processing techniques. Specifically, this paper proposes a novel scheme comprising three steps, namely, stance detection, author credibility verification, and machine learning-based classification, to verify the authenticity of news. In the last stage of the proposed pipeline, several machine learning techniques are applied, such as decision trees, random forest, logistic regression, and support vector machine (SVM) algorithms. For this study, the fake news dataset was taken from Kaggle. The experimental results show an accuracy of 93.15%, precision of 92.65%, recall of 95.71%, and F1-score of 94.15% for the support vector machine algorithm. The SVM is better than the second best classifier, i.e., logistic regression, by 6.82%. |
| Starting Page | 9292 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app11199292 |
| Journal | Applied Sciences |
| Issue Number | 19 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-06 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Information and Library Science Fake News Detection Natural Language Processing Machine Learning Stance Detection Social Media |
| Content Type | Text |
| Resource Type | Article |
