Enhancing sustainable consumption using artificial intelligence

Alyoons, Abeer Abdulkhalik Thanoon

doi:10.69513/jncs.v3.i1.a1

	Enhancing sustainable consumption using artificial intelligence
Al-Noor Journal for Information Technology and Cybersecurity
Article 1, Volume 3, Issue 1, June 2026, Pages 1-9 PDF (450.81 K)
Document Type: Research paper
DOI: 10.69513/jncs.v3.i1.a1
Author
Abeer Abdulkhalik thanoon Alyoons^*
College of law, University of Mosul, Nineveh , Iraq
Abstract
Identifying abandoned accounts is crucial as they can be breeding grounds for fraud or used as fake accounts, and addressing platform disorder is an important part of sustainable development , Their accumulation causes chaos .This research aims to use the C4.5 algorithm to build a decision tree due to its speed and ability to manage categorical and numerical inputs in identifying features to classify Facebook accounts as active, abandoned, or deactivated by determining the number of days since the last interaction on the account. Data was obtained from a website and manually from other sources. The results of the decision tree demonstrated the discrimination capabilities derived from machine learning. The research presented a solution for recycling or deleting accounts to mitigate the damage caused by the accumulation of abandoned and deactivated accounts on the Facebook platform. The biggest obstacle for the researcher was the sample, as Facebook accounts are subject to privacy laws, and previous literature and studies have not addressed the treatment and recycling of these accounts. The results were satisfactory in the diagnostic process, providing a reliable method to ensure the safety and sustainability of interactions on this platform, which includes billions of users around the world.
Keywords
Sustainable; Social media platform waste; Decision tree; Abandoned account; Deactivated Account; fake accounts

Statistics Article View: 240 PDF Download: 170