Smart Popularity Farming: An IoT Automation Solution

Volume no :

9 |

Issue no :

1

Article Type :

Research

Author :

Mr P N Periyasamy, M.E, Karthic V, Karthik Sujith, Logeshwaran P, Mahesh S

Published Date :

07/2025

Publisher :

Kiwi Publications

Page No: 1 - 10

Abstract : Smart Popularity Farming is an innovative IoT-based automation solution designed to enhance user engagement, visibility, and content interaction across digital platforms. In an era where online presence significantly impacts personal branding, marketing, and social influence, this system automates engagement strategies such as likes, shares, comments, and views through intelligent device coordination and data-driven interaction models. Utilizing microcontrollers, sensors, and cloud connectivity, the proposed system creates synchronized behavior across multiple devices, mimicking organic user activity. It integrates scheduling, behavior randomization, and content targeting to simulate real-time interactions while avoiding detection by platform algorithms. The solution is scalable, programmable, and offers a dashboard for users to track growth metrics and optimize campaign strategies. Beyond social media, it can be adapted for online polls, product reviews, and e-commerce engagement. By leveraging automation, Smart Popularity Farming offers a cost-effective, smart alternative to manual efforts or risky third-party services, while maintaining ethical compliance in customizable applications. This project showcases how IoT and automation can redefine digital influence management.

Keyword IoT automation, digital engagement, popularity farming, social media growth, microcontroller, smart interaction, online presence, content optimization, programmable scheduling, cloud-based analytics.

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Smart Popularity Farming: An IoT

In today’s hyper-connected digital landscape, popularity and online visibility play a crucial role inshaping public perception, individual influence, and brand success. Whether it is a social media influencer, asmall business, a political campaign, or a content creator, the metrics of engagement—likes, shares, comments,views, and followers—often determine reach, credibility, and even financial opportunities. This phenomenonhas led to the emergence of practices collectively known as popularity farming, where users aim to increasetheir online influence by artificially boosting these metrics. While traditional popularity farming often involvesunethical tactics such as purchasing fake followers or using bots, advancements in Internet of Things (IoT)technology offer an alternative pathway—one that is intelligent, programmable, scalable, and potentially moreethical and secure. Smart Popularity Farming refers to the automation of engagement activities through IoT-based systems, wherein physical devices and software systems work together to simulate organic user behavior.This concept transforms popularity farming from a suspicious, backend activity into a smart and controllablefront-end system using embedded systems, automation protocols, cloud infrastructure, and real-time analytics.With a growing emphasis on user behavior, time-of-posting strategies, geo-targeted engagement, and audienceinteraction patterns, IoT provides a robust platform for simulating these behaviors in a human-like mannerwithout violating terms of service or platform integrity when designed responsibly. The motivation for SmartPopularity Farming stems from the limitations of existing methods. Manual engagement strategies are time-consuming, inconsistent, and resource-intensive. On the other hand, third-party services that promise fastgrowth often employ bots and fake accounts, leading to poor engagement quality and risks of account bans.These approaches also lack transparency and often violate ethical standards. An IoT-based solution canovercome these challenges by enabling real-time control, context-aware interaction, and dynamiccustomization, all while remaining undetected by platform algorithms through randomized behavior simulationand human-like timing.

At the core of this system is a network of interconnected devices—Raspberry Pi, ESP32 modules, actuators, andsensors—configured to perform automated actions such as liking, following, scrolling, watching videos, orposting comments. These devices can be physically connected to smartphones or operate within virtualenvironments using touchscreen simulators. The system includes a scheduling component, where actions arerandomized over time intervals to mimic organic user behavior.