Associations between privacy, risk awareness, and interactive motivations of social networking service users, and motivation prediction from observable features
作者：
Highlights：
• We investigate factors that influence private information disclosure activities.
• Factors for disclosure are dependent on disclosure scopes and openness scores.
• We construct models to predict motivations from public observable factors.
• Motivations can be predicted with high accuracy from 0.764 to 0.858.
摘要
•We investigate factors that influence private information disclosure activities.•Factors for disclosure are dependent on disclosure scopes and openness scores.•We construct models to predict motivations from public observable factors.•Motivations can be predicted with high accuracy from 0.764 to 0.858.
论文关键词：Online privacy,SNS privacy settings,Motivation analysis,User behavior analysis
论文评审过程：Available online 4 December 2014.
论文官网地址：https://doi.org/10.1016/j.chb.2014.11.023
