A hybrid SEM-neural network analysis of social media addiction

作者：

Highlights：

• Using AI, the study examined the effects of UGT and BFM on social media addiction.

• A two-staged SEM-ANN technique with a sample of 615 social media users was used.

• There is a non-linear relationship between neuroticism and social media addiction.

• Gender, hours spent, entertainment and agreeableness have linear relationships with addiction.

• The research model predicts social media addiction with an accuracy of 86.67%.

摘要

•Using AI, the study examined the effects of UGT and BFM on social media addiction.•A two-staged SEM-ANN technique with a sample of 615 social media users was used.•There is a non-linear relationship between neuroticism and social media addiction.•Gender, hours spent, entertainment and agreeableness have linear relationships with addiction.•The research model predicts social media addiction with an accuracy of 86.67%.

论文关键词：Artificial intelligence,Neural network,Social media addiction,Big five model,Uses and gratifications theory,Personality trait

论文评审过程：Received 19 February 2019, Revised 17 May 2019, Accepted 18 May 2019, Available online 18 May 2019, Version of Record 24 May 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.024