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- Title
The Internet Usage Rate in Turkey: A Machine Learning Approach.
- Authors
İNCEKARA, Mustafa; ÖZTÜRK, Cemal
- Abstract
Most studies on measuring coverage bias in internet surveys use internet access as a critical measurement variable. However, access to the internet does not mean that individuals are using it. Therefore, using the internet usage rate as a key variable is crucial to get an accurate overview of the internet coverage of a population. This study closes these gaps by using a better indicator for measuring the internet usage rate. It is the first study measuring the internet usage rate in Turkey by using the real internet usage rate of the population and applying a machine learning algorithm. The results exposed significant differences in socio-demographic characteristics when internet users were compared with non-users. Furthermore, the coverage bias associated with internet users remained different for several demographic categories. The results of web-based surveys based on the actual internet usage rate are crucial for the scientific community and marketers.
- Subjects
TURKEY; MACHINE learning; INTERNET access; INTERNET; INTERNET users; INTERNET surveys
- Publication
Ege Academic Review, 2024, Vol 24, Issue 2, p165
- ISSN
1303-099X
- Publication type
Article
- DOI
10.21121/eab.1268873