Segmentation of Older Adults in the Acceptance of Social Networking Sites Using Machine Learning

Segmentation of Older Adults in the Acceptance of Social Networking Sites Using Machine Learning

This study analyzes the most important predictors of acceptance of social network sites in a sample of Chilean elder people (over 60). We employ a novelty procedure to explore this phenomenon. This procedure performs apriori segmentation based on gender and generation. It then applies the deep learn...

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Bibliographic Details
Main Authors: Patricio E. Ramírez-Correa, F. Javier Rondán-Cataluña, Jorge Arenas-Gaitán, Elizabeth E. Grandón, Jorge L. Alfaro-Pérez, Muriel Ramírez-Santana
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Psychology
Subjects:
acceptance
elderly
social network sites
heterogeneity
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.705715/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2021.705715/full

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