END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING
Abstract & Details
Research Area
Information Technology
Keywords
CNN
LSTM
machine learning
information integrity
recall
precision
and fake news identification.
Abstract
The end-to-end fake news detection system proposed in this paper makes use of Long Short-Term Memory (LSTM) models and Convolutional Neural Networks (CNNs). The system uses CNNs to identify structural patterns and LSTMs to model sequential dependencies in textual data. It also unifies the phases of data preprocessing, feature extraction, and model training. High recall and precision rates are achieved when properly recognizing false news stories, as demonstrated by experimental results on a variety of datasets. Combining CNNs and LSTMs improves the system's capacity to identify intricate patterns and subtle contextual cues, which makes a substantial contribution to the fight against false information on digital platforms. This study confirms the value of using cutting-edge machine learning algorithms to preserve information integrity and the function of CNNs and LSTMs in the identification of false news
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | VINITA V | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | MONIKA M K | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | NIVETHASRI R | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 4 | CHANDRAPRABHA K | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
V, VINITA, K, MONIKA M, R, NIVETHASRI, & K, CHANDRAPRABHA (2024). END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 1391-1399.
MLA Style
V, VINITA, et al. "END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 1391-1399.
IEEE Style
VINITA V, MONIKA M K, NIVETHASRI R, and CHANDRAPRABHA K, "END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 1391-1399, 2024.
Vancouver Style
V VINITA, K MONIKA M, R NIVETHASRI, K CHANDRAPRABHA . END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):1391-1399.
Harvard Style
V, VINITA, K, MONIKA M, R, NIVETHASRI, & K, CHANDRAPRABHA (2024) 'END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 1391-1399.
Chicago Style
V, VINITA, et al. "END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1391-1399.
Turabian Style
V, VINITA, et al. "END-TO-END FAKE NEWS DETECTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1391-1399.
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