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

Authors

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

DOI:

https://doi.org/10.21512/emacsjournal.v4i1.8076

Keywords:

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

Abstract

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.

Dimensions

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

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Published

2022-02-05

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