[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127124-en":3,"doc-seo-127124-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":11,"language":21,"language_code":22,"site_id":23,"html_lang":22,"table_of_contents":24,"faqs":25,"seo_title":26,"seo_description":14,"update_tm":27,"read_time":28},127124,687207022233,"Riley","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Fake account detection in social media using machine learning - literature review","Rapid growth of social media in the Industry 4.0/5.0 era has intensified cybercrime, especially the proliferation of fake accounts across platforms such as Instagram, Twitter, and Facebook. Because manual removal is difficult and fake accounts evolve to mimic real users, research has increasingly focused on automatic detection. This literature review synthesizes machine learning methods and algorithms, summarizing performance for identifying fake accounts on Twitter, Instagram, and Facebook, and supporting development of a high-performance detection model.","Fake account detection in social media using machine learning  \nmethods: literature review  \nNalia Graciella Kerrysa1, Ika Qutsiati Utami1,2  \n1Data Science Technology, Department of Engineering, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga,  \nSurabaya, Indonesia  \n2Graduate Institute of Network Learning Technology, National Central University of Taiwan, Taoyuan, Taiwan  \nArticle history:  \nReceived Nov 26, 2022 Revised Apr 5, 2023 Accepted Jun 4, 2023  \nKeywords:  \nFake account Machine learning Social media  \nSociety Technology  \nCorresponding Author:  \nWith the rapid development of emerging technologies in the industrial revolution 4.0 or 5.0, social media has become one of the social environments to carry out social activities, both socializing and advertising. However, since it is an open platform by nature, cybercrime occurrence in social media is inevitable. Currently, more than a million fake accounts are existing on Instagram, Twitter, and Facebook, intending to increase followers, spread hoaxes, and spam. On one hand, it is difficult to manually eliminate these accounts on social media platforms. On the other hand, research on automatic fake account detection has been carried out for more than a decade. This study provides literature reviews aiming to deliver information about several methods and machine learning algorithms with the performances measured in identifying fake accounts on three well-known social media platforms: Twitter, Instagram, and Facebook.  \nThis is an open access article under the CC BY-SA license.  \nIka Qutsiati Utami  \nData Science Technology, Department of Engineering  \nFaculty of Advanced Technology and Multidiscipline, Universitas Airlangga Dr. Ir. Soekarno Rd., Surabaya, Indonesia  \nEmail: [ika.q.utami@ftmm.unair.ac.id](ika.q.utami@ftmm.unair.ac.id)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nIn the era of industry 4.0, social media has become one of the most preferable platforms to socialize and connect with other people. Interactive social media platforms such as Instagram, Twitter, and Facebook have become popular over a decade to share and find important information [1], [2] . People can connect with others around the world without limitations of time and place. Currently, the purpose of social media interaction is not just for communication and online interaction, but also for conducting business activities such as advertising, promoting, and doing campaigns. Meanwhile, the government could use these platforms to deliver government services to citizens effectively [3] . All of these activities require a lot of followers tobe engaged with meaningful interaction to achieve a profitable business purpose. To achieve this, it is inevitable for business people or a company to utilize fake accounts on social media intentionally. Fake accounts are used in many different ways. Most businesses and institutions today choose social media as their main platform for marketing and advertising campaigns [4] . Meanwhile, influencers receive many tangible profits from endorsing brands and sponsorship [5], [6] . Both cases need a huge amount of followers and finding fake accounts provides the fastest solution for a bigger profit. Although they seemed to have no significant impact, fake accounts could also run a lot of devious activities over the internet such as launching massive online attacks [7], spreading hoaxes, review-bombing of products with misleading content, spreading spam, and even impersonating someone [8] . Not only that cases, these fake accounts could take  \nadvantage of people by faking news or text messages to steal from innocent social media users [9], [10] . These activities will affect the reputation of individuals or groups of people on a larger scale [11] . One example is when a 17-year-old high school student’s identity was stolen by a large company that sells Twitter followers to anyone that wants to become popular [12] . The company claimed approximate","cbCaigNEJcVWJyFY","https://ap.wps.com/l/cbCaigNEJcVWJyFY","pdf",299929,1,"English","en",105,"# ABSTRACT\n# INTRODUCTION\n## Problem background and motivation\n# METHOD\n## Literature review design and stages\n### Setting up goals and research questions","[{\"question\":\"Why is fake account detection important on social media platforms?\",\"answer\":\"Fake accounts are used to increase followers, spread hoaxes and spam, impersonate others, and launch large-scale attacks. Their presence can damage reputations and is difficult to track and remove manually.\"},{\"question\":\"What is the purpose of this literature review?\",\"answer\":\"It summarizes research studies that use machine learning techniques to detect fake social media accounts. It also provides information to support a high-performance detection model for Instagram, Facebook, and Twitter.\"},{\"question\":\"How is the literature review method structured?\",\"answer\":\"The review follows a four-step approach involving research questions, literature keywords and sources, selection criteria, and analysis of findings, guided by Kitchenham and Charters’ literature review structure.\"}]","Fake account detection in social media using machine learning - literature review | PDF",1785936973,20,{"code":4,"msg":30,"data":31},"ok",{"site_id":23,"language":22,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":27},"fake-account-detection-in-social-media-using-machine-learning-literature-review","",{"@graph":35,"@context":84},[36,53,67],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/fake-account-detection-in-social-media-using-machine-learning-literature-review/127124/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":22,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"Why is fake account detection important on social media platforms?","Question",{"text":74,"@type":75},"Fake accounts are used to increase followers, spread hoaxes and spam, impersonate others, and launch large-scale attacks. Their presence can damage reputations and is difficult to track and remove manually.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"What is the purpose of this literature review?",{"text":79,"@type":75},"It summarizes research studies that use machine learning techniques to detect fake social media accounts. It also provides information to support a high-performance detection model for Instagram, Facebook, and Twitter.",{"name":81,"@type":72,"acceptedAnswer":82},"How is the literature review method structured?",{"text":83,"@type":75},"The review follows a four-step approach involving research questions, literature keywords and sources, selection criteria, and analysis of findings, guided by Kitchenham and Charters’ literature review structure.","https://schema.org",{"og:url":51,"og:type":86,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":88,"canonical":51},"index,follow",{"doc_id":7,"site_id":23},{"code":4,"msg":5,"data":91},[92,96,100,104,109,114,119,122,126,129,133],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":101,"show_sort_weight":102,"slug":103},"Exam",70,"exam",{"id":105,"doc_module":4,"doc_module_name":45,"category_name":106,"show_sort_weight":107,"slug":108},5,"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":45,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":45,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":45,"category_name":124,"show_sort_weight":28,"slug":125},9,"Religion & Spirituality","religion-spirituality",{"id":28,"doc_module":4,"doc_module_name":45,"category_name":127,"show_sort_weight":28,"slug":128},"World Cup","world-cup",{"id":130,"doc_module":4,"doc_module_name":45,"category_name":131,"show_sort_weight":130,"slug":132},10,"Lifestyle","lifestyle",{"id":134,"doc_module":4,"doc_module_name":45,"category_name":135,"show_sort_weight":105,"slug":136},19,"General","general"]