Identifying fake followers of instagram influencers using logistic regression
M. Singh · Computational Methods in Science and Technology · 2024
Most commonly utilized social networking app available today is Instagram. There are more than 1 billion monthly users on Instagram. We are always idly browsing through our Instagram accounts and snapping picture-perfect moments whenever we can. However, Instagram isn’t limited to private use. To engage with their customers and market their goods and services, many businesses also employ Instagram advertising. Additionally, the quantity of followers and likes you receive on your Instagram business account are sometimes used to gauge its success. Getting the number of Instagram followers you desire may take months or even years, as gaining this kind of following is not a simple task. Though it&s;s not always that easy, you can purchase Instagram followers. Purchasing Instagram followers is expensive, and the followers you get are frequently automated accounts that don’t interact with your profile by following and commenting on your posts. The purpose of Instagram influencers is to boost interaction; while purchasing followers may appear like a smart move, it may be detrimental to one&s;s reputation. Using a dataset of about 8000 profiles, we were able to identify fraudulent followers of influencers with a 94.2% accuracy rate using a logistic regression classifier.