A PREDICTIVE ANALYSIS OF FACEBOOK JEALOUSY
A PREDICTIVE ANALYSIS OF FACEBOOK JEALOUSY
Author(s): Aysen Şimşek KANDEMİR, Hasan Latif, Engin Karaman, Öznur GökkayaSubject(s): Evaluation research, ICT Information and Communications Technologies
Published by: Kültür Ajans Tanıtım ve Organizasyon
Keywords: SNS; Facebook jealousy; restrict/control Facebook; Romantic relationships; Scale development; Decision tree;
Summary/Abstract: Social network sites (SNS) have provided to the lives of romantic partners letting them connect with people, spy on the acquaintances in their social network like never before. This research is based on the disputes of romantic partners about Facebook usage and on the prediction of Facebook jealousy, which manifests itself in the behaviors that restrict/control Facebook usage among partners. The SNS which lead to most dispute with his/her partner is Facebook with 34.4%. In this research, a four-dimensional, 13-item scale, was developed and were subjected to validity and reliability tests. Data collected from 1,304 people were analyzed with the decision tree model, and a prediction on the Facebook jealousy was made. The likelihood of Facebook jealousy at the beginning of the decision tree model was found to be 32.4%.
Journal: Karadeniz Uluslararası Bilimsel Dergi
- Issue Year: 2018
- Issue No: 40
- Page Range: 172-184
- Page Count: 13
- Language: English