A Systematic Literature Review: Instagram Fake Account Detection Based on Machine Learning


  • Juandreas Ezarfelix Binus Nusantara University
  • Nathannael Jeffrey Bina Nusantara University
  • Novita Sari Bina Nusantara University




Fake Accounts, Social Media, Instagram, Machine Learning, Natural Language Processing, Image Detection


The popularity of social media continues to grow, and its dominance of the entire world has become one of the aspects of modern life that cannot be ignored. The rapid growth of social media has resulted in the emergence of ecosystem problems. Hate speech, fraud, fake news, and a slew of other issues are becoming un-stoppable. With over 1.7 billion fake accounts on social media, the losses have al-ready been significant, and removing these accounts will take a long time. Due to the growing number of Instagram users, the need for identifying fake accounts on social media, specifically in Instagram, is increasing. Because this process takes a long time if done manually by humans, we can now use machine learning to identify fake accounts thanks to the rapid development of machine learning. We can detect fake accounts on Instagram using machine learning by implementing the combination of image detection and natural language processing.


Plum Analytics

Author Biographies

Juandreas Ezarfelix, Binus Nusantara University

Computer Science Department, School of Computer Science

Nathannael Jeffrey, Bina Nusantara University

Computer Science Department, School of Computer Science


Novita Sari, Bina Nusantara University

Computer Science Department, School of Computer Science


“Social media - Statistics & Facts.” https://www.statista.com/topics/1164/social-networks/#dossierKeyfigures.

“Daily time spent on social networking by internet users worldwide from 2012 to 2020”. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/.

“Number of social network users worldwide from 2017 to 2025”. https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/.

“Global number of fake accounts taken action on by Facebook from 4th quarter 2017 to 2nd quarter 2021”. https://www.statista.com/statistics/1013474/facebook-fake-account-removal-quarter/

Kesharwani, M., Kumari, S., & Niranjan, V. (2021). Detecting Fake Social Media Account Using Deep Neural Networking. July, 1191–1197.

Van Der Walt, E., & Eloff, J. (2018). Using Machine Learning to Detect Fake Identities: Bots vs Humans. IEEE Access, 6, 6540–6549. https://doi.org/10.1109/ACCESS.2018.2796018

“Social Media Definition”. https://www.investopedia.com/terms/s/social-media.asp

“Most popular social networks worldwide as of October 2021, ranked by number of active users”. https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

“Most popular reasons for internet users wordwide to use social media as of 2nd quarter 2021”. https://www.statista.com/statistics/715449/social-media-usage-reasons-worldwide/

“Global number of fake accounts taken action on by Facebook from 4th quarter 2017 to 3rd quarter 2021” https://www.statista.com/statistics/1013474/facebook-fake-account-removal-quarter/

Akyon, F. C., & Esat Kalfaoglu, M. (2019). Instagram Fake and Automated Account Detection. Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019. https://doi.org/10.1109/ASYU48272.2019.8946437

Dey, A., Reddy, H., Dey, M., & Sinha, N. (2019). Detection of Fake Accounts in Instagram Using Machine Learning. International Journal of Computer Science and Information Technology, 11(5), 83–90. https://doi.org/10.5121/ijcsit.2019.11507

Meshram, E. P., Bhambulkar, R., Pokale, P., Kharbikar, K., & Awachat, A. (2021). Automatic Detection of Fake Profile Using Machine Learning on Instagram. International Journal of Scientific Research in Science and Technology, 117–127. https://doi.org/10.32628/ijsrst218330

Purba, K. R., Asirvatham, D., & Murugesan, R. K. (2020). Classification of instagram fake users using supervised machine learning algorithms. International Journal of Electrical and Computer Engineering, 10(3), 2763–2772. https://doi.org/10.11591/ijece.v10i3.pp2763-2772

Saranya Shree, S., Subhiksha, C., & Subhashini, R. (2021). Prediction of Fake Instagram Profiles Using Machine Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3802584

“Neural Network”. https://www.ibm.com/cloud/learn/neural-networks

Sheikhi, S., 2020. An Efficient Method for Detection of Fake Accounts on the Instagram Platform. Revue d’Intelligence Artificielle, 34(4), pp.429-436.

“Hidden Layer Definition” https://deepai.org/machine-learning-glossary-and-terms/hidden-layer-machine-learning

M, Mamatha, M.Srinivasa Datta, Umme Hani Ansari, Dr. Subhani Shaik. (2021). Fake Profile Identification using Machine Learning Algorithms. July, 2248-9622.






Abstract 774  .
PDF downloaded 599  .