References
- Kemp, S. Digital 2023 Global Overview Report – Reports – Datareportal – Global Digital Insights, DataReportal. https://datareportal.com/reports/tag/Digital+2023+Global+Overview+Report
- Dean, B. How Many People Use Social Media in 2023? (65+ Statistics), Backlinko (Accessed 22 June 2023). https://backlinko.com/social-media-users
- Ramalingam, D., V. Chinnaiah. Fake Profile Detection Techniques in Large-Scale Online Social Networks: A Comprehensive Review. – Computers and Electrical Engineering, Vol. 65, 2018, pp. 165-177. DOI: 10.1016/j.compeleceng.2017.05.020.
- Goyal, B., N. S. Gill, P. Gulia. Detection of Fake Profiles on Online Social Media. – In: Proc. of the Strategy National Conference on Computational Intelligence and Data Science (NCCIDS’23). MDU Rohtak, 2023. https://www.researchgate.net/publication/369643807_Detection_of_Fake_Profiles_on_Online_Social_Media_A_Strategy
- Singh, N., T. Sharma, A. Thakral, T. Choudhury. Detection of Fake Profile in Online Social Networks Using Machine Learning. – In: Proc. of International Conference on Advances in Computing and Communication Engineering (ICACCE’18), Paris, France, 2018, pp. 231-234. DOI: 10.1109/ICACCE.2018.8441713.
- Nikhitha, K. V., K. Bhavya, D. U. Nandini. Fake Account Detection on Social Media Using Random Forest Classifier. – In: Proc. of 7th International Conference on Intelligent Computing and Control Systems (ICICCS’23), Madurai, India, 2023, pp. 806-811. DOI: 10.1109/ICICCS56967.2023.10142841.
- Ritchie, J. N. A., et al. Scams Starting on Social Media Proliferate in Early 2020. Federal Trade Commission, 2022. https://www.ftc.gov/news-events/data-visualizations/data-spotlight/2020/10/scams-starting-social-media-proliferate-early-2020.
- Spoorthy, A. S., S. Sinha. Trust Based Fake Node Identification in Social Networking Sites. – IOP Conference Series: Materials Science and Engineering, Vol. 1123, 2021, No 1, p. 012036. DOI:10.1088/1757-899x/1123/1/012036.
- Meligy, A., M. H. Ibrahim, F. M. Torky. Identity Verification Mechanism for Detecting Fake Profiles in Online Social Networks. – International Journal of Computer Network and Information Security, Vol. 9, 2017, No 1, pp. 31-39. DOI:10.5815/ijcnis.2017.01.04.
- Sheikhi, S. An Efficient Method for Detection of Fake Accounts on the Instagram Platform. – Revue d’Intelligence Artificielle, Vol. 34, 2020, No 4, pp. 429-436. DOI:10.18280/ria.340407.
- Reddy, K. D. Fake Profile Identification Using MachineLearning. – International J. of Scientific Research in Science Engineering, 2020 [Preprint].
- Latha, P., et al. Fake Profile Identification in Social Network Using Machine Learning and NLP. – In: Proc. of International Conference on Communication, Computing and Internet of Things (IC3IoT’22), 2022, [Preprint]. DOI: 10.1109/ic3iot53935.2022.9767958.
- Elyusufi, Y., Z. Elyusufi, M. A. Kbir. Social Networks Fake Profiles Detection Using Machine Learning Algorithms. – Innovations in Smart Cities Applications Edition 3, 2020, pp. 30-40. DOI:10.1007/978-3-030-37629-1_3.
- Mughaid, A., I. Obeidat, E. Abu Elsoud, A. Alnajjar et al. A Novel Machine Learning and Face Recognition Technique for Fake Accounts Detection System on Cyber Social Networks. – Multimedia Tools and Applications, Vol. 82, 2023, pp. 26353-26378. DOI: 10.1007/s11042-023-14347-8.
- Patel, K., S. Agrahari, S. Srivastava. Survey on Fake Profile Detection on Social Sites by Using Machine Learning Algorithm. – In: Proc. of 8th International Conference on Technologies and Optimization (Trends and Future Directions) (ICRITO’20), 2020 [Preprint]. DOI:10.1109/icrito48877.2020.9197935.
- Kondeti, P., L. P. Yerramreddy, A. Pradhan, G. Swain. Fake Account Detection Using Machine Learning. – In: V. Suma, N. Bouhmala, H. Wang, Eds. Evolutionary Computing and Mobile Sustainable Networks. – Lecture Notes on Data Engineering and Communications Technologies, Vol. 53, Springer, Singapore, 2021. https://doi.org/10.1007/978-981-15-5258-8_73
- Rao, K. S., S. Gutha, B. D. Raju. Detecting Fake Account on Social Media Using Machine Learning Algorithms. – International Journal of Control and Automation, Vol. 13, 2020, pp. 95-100.
- Shreya, K., A. Kothapelly, D. V. H. Shanmugasundaram. Identification of Fake Accounts in Social Media Using Machine Learning. – In: Proc. of 4th International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT’22), Mandya, India, 2022, pp. 1-4. DOI: 10.1109/ICERECT56837.2022.10060194.
- Harish, K., R. Naveen Kumar, Dr. J. Briso Becky Bell. Fake Profile Detection Using Machine Learning. – International Journal of Scientific Research in Science, Engineering and Technology, 2023, pp. 719-725. DOI:10.32628/ijsrset2310264.
- Munoz, S. D., P. G. E. Pinto. A Dataset for the Detection of Fake Profiles on Social Networking Services. – In: Proc. of International Conference on Computational Science and Computational Intelligence (CSCI’20), 2020 [Preprint]. DOI:10.1109/csci51800.2020.00046.
- Meshram, P., B. Karbikar. Automatic Detection of Fake Profile Using Machine Learning on Instagram. – International Journal of Scientific Research in Science and Technology, 2021 pp. 117-127. DOI: 10.32628/ijsrst218330.
- Aydin, İ., M. Sevi, M. U. Salur. Detection of Fake Twitter Accounts with Machine Learning Algorithms. – In: Proc. of International Conference on Artificial Intelligence and Data Processing (IDAP’18), Malatya, Turkey, 2018, pp. 1-4. DOI: 10.1109/IDAP.2018.8620830.
- Khaled, S., N. El-Tazi, H. M. O. Mokhtar. Detecting Fake Accounts on Social Media. – In: Proc. of IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 3672-3681. DOI: 10.1109/BigData.2018.8621913.
- Akhiat, Y., et al. A New Noisy Random Forest-Based Method for Feature Selection. – Cybernetics and Information Technologies, Vol. 21, 2021, No 2, pp. 10-28.
- Venkatesh, B., J. Anuradha. A Review of Feature Selection and Its Methods. – Cybernetics and Information Technologies, Vol. 19, 2019, No 1, pp. 3-26.
- Jyothi, M. A., T. Sridevi, K. Rajani, U. Channabasava, S. Bethu. Rapport of Counterfeit Profiles in Social Networking Using Machine Learning Techniques. – In: Proc. of 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT’23), Jaipur, India, 2023, pp. 1-7. DOI: 10.1109/ICCT56969.2023.10076017.
- Zaman, B., et al. An Indonesian Hoax News Detection System Using Reader Feedback and Naïve Bayes Algorithm. – Cybernetics and Information Technologies, Vol. 20, 2020, No 1, pp. 82-94.
- Patil, D. R., J. B. Patil. Malicious URL’s Detection Using Decision Tree Classifiers and Majority Voting Technique. – Cybernetics and Information Technologies, Vol. 18, 2018, No 1, pp. 11-29.
- Chakraborty, P., et al. Fake Profile Detection Using Machine Learning Techniques. – Journal of Computer and Communications, Vol. 10, 2022, No 10, pp. 74-87. DOI: 10.4236/jcc.2022.1010006.
- Huanrui, H. New Mixed Kernel Functions of SVM Used in Pattern Recognition. – Cybernetics and Information Technologies, Vol. 16, 2016, No 5, pp. 5-14.
- Mathews, L. M., H. Seetha. On Improving the Classification of Imbalanced Data. – Cybernetics and Information Technologies, Vol. 17, 2017, No 1, pp. 45-62.