Intelligent Fake News Detection Model using Machine Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5015-7_10
Reference23 articles.
1. de Oliveira NR, Medeiros DS, Mattos DM (2020) A sensitive stylistic approach to identify fake news on social networking. IEEE Signal Process Lett 27:1250–1254
2. Anantha Prabha P, Subashree B, Deva Priya M (2023) Content-based image retrieval in cyber-physical system modeling of robots. In: Mahapatra RP, Peddoju SK, Roy S, Parwekar P (eds) Proceedings of international conference on recent trends in computing. Lecture notes in networks and systems, vol 600. Springer, Singapore. https://doi.org/10.1007/978-981-19-8825-7_67
3. Sahoo SR, Gupta BB (2021) Multiple features based approach for automatic fake news detection on social networks using deep learning. Appl Soft Comput 100:106983
4. Siamala Devi S, Deva Priya M, Anitha Rajakumari P, Kanmani R, Poorani G, Padmavathi S, Niveditha G (2022) A hybrid algorithm for document clustering using optimized kernel matrix and unsupervised constraints. In: The 3rd EAI international conference on big data innovation for sustainable cognitive computing. Springer, pp 1–20. https://doi.org/10.1007/978-3-030-78750-9_1
5. Vosoughi S, Roy D, Aral S (2018) The spread of true and false news online. Science 359(6380):1146–1151
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