The IUP Journal of Information Technology
Factors Leading to Collusion in Crowdsourced Environments

Article Details
Pub. Date : Mar, 2022
Product Name : The IUP Journal of Information Technology
Product Type : Article
Product Code : IJIT20322
Author Name : Adamu Sulaiman Usman*, Francisca N Ogwueleka** and Abraham Evwiekpaefe***
Availability : YES
Subject/Domain : Engineering
Download Format : PDF Format
No. of Pages : 14

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Abstract

The popularity of crowdsourcing is on the rise as individuals and organizations seek avenues to solve their problems. The advantages that crowdsourced platforms offer range from outsourcing potentials to reduced costs. There are some challenges with the platforms as workers are likely to collude. Some factors that lead to collusion include communication, nearness to one another and complexity of tasks. This paper presents a survey on crowdsourcing, advantages and disadvantages of crowdsourcing, types of malicious attacks and factors that permit collusion in crowdsourced platforms.


Introduction

The Internet era has led to a tremendous increase in the quantity of interactive devices and the data generated and created. This information ranges from scripts (structured and unstructured), to multimedia (video, images, audio) content on machine-to-machine communications, social media websites, cyber-physical platforms, and Internet of Things (IoT) (Sivarajah et al., 2016). Sivarajah et al. (2016) postulated that the world generates over 2.5 quintillion bytes of data daily, with the assertion that over 40 Zettabytes of information has already been created and used by 2020. This great amount of data being created by various devices highlights the fact that this is an era of Big Data (BD). According to Zafor and Ji (2013), 97% of companies with a greater turnover than $100 mn were known to use various amounts of data.


Keywords

Crowdsourcing, Internet, Collusion, Big Data