Systematic Approach for Detection of Fake News on Social Media Platform
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1488-9_25
Reference27 articles.
1. Kumar S et al (2020) Fake news detection using deep learning models: A novel approach. Trans Emerg Telecommun Technol 31(2):e3767
2. Mridha MF et al (2021) A comprehensive review on fake news detection with deep learning. IEEE Access 9:156151–156170
3. Sharma A, Singh I, Rai V (2022) Fake news detection on social media 2022. In: 2nd International conference on advance computing and innovative technologies in engineering (ICACITE). Greater Noida, India, pp 803–807. https://doi.org/10.1109/ICACITE53722.2022.9823660
4. Rastogi S, Gill SS, Bansal D (2021) An adaptive approach for fake news detection in social media: single vs cross domain. In: 2021 International conference on computational science and computational intelligence (CSCI). Las Vegas, NV, USA, pp 1401–1405
5. Konagala V, Bano S (2020) Fake news detection using deep learning: supervised fake news detection analysis in social media with semantic similarity method. In: Deep learning techniques and optimization strategies in big data analytics. IGI Global, pp 166–177
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