Fake News Detection Using Optimized CNN and LSTM Techniques

  • Emmy Danny Ajik Federal University Dutsinma, Nigeria http://orcid.org/0009-0007-0205-4837
  • Georgina N Obunadike Federal University Dutsinma, Nigeria
  • Faith O Echobu Federal University Dutsinma, Nigeria
Keywords: Optimisation, HyperOpt Technique, Fake News, Long Short Term Memory, Convolutional Neural Network

Abstract

Concerns have been raised about the social consequences of fake news as it has spread rapidly on online platforms. It is critical to detect and mitigate the spread of fake news in order to maintain a healthy community conversation. There is a need to put more effort into the identification of fake news as more people use the internet, especially as more internet-enabled gadgets become more widely available and inexpensive. With the help of two Neural Network techniques: long-short-term memory (LSTM) and Convolutional Neural Network (CNN). This research proposes novel deep-learning methods for identifying fake news using two datasets. These methods were considered for this research because they had proven to be successful in earlier studies that had been looked at. Finding the best-performing optimal models is the goal of this study. HyperOpt Technique was used for Neural Network model. The performance of the optimized models was compared with the performance of the models without optimization. The results obtained showed that for both datasets, CNN and LSTM performed better when training the models with the optimal values with an average difference of 12.7% for Accuracy, 11.9% for Precision, 12.3% for Recall and 15.4% for F1-Score.

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Author Biographies

Emmy Danny Ajik, Federal University Dutsinma

I am affiliated to the department of Computer Science, Faculty of Computing

Georgina N Obunadike, Federal University Dutsinma

Department of Computer Science, Faculty of Computing. Currently an Associate Professor

Faith O Echobu, Federal University Dutsinma

Department of Information Technology, Faculty of Computing

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Published
2023-08-31
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How to Cite
Ajik, E., Obunadike, G., & Echobu, F. (2023). Fake News Detection Using Optimized CNN and LSTM Techniques. Journal of Information Systems and Informatics, 5(3), 1044-1057. https://doi.org/10.51519/journalisi.v5i3.548