What you want is not what you get: Predicting sharing policies for text-based content on Facebook

• Main Authors: SINHA, Arunesh, YAN, Li, BAUER, Lujo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Facebook; machine learning; natural language processing; privacy; social network; Computer Sciences; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/5111; https://ink.library.smu.edu.sg/context/lkcsb_research/article/6110/viewcontent/2517312.2517317.pdf
• Institution: Singapore Management University

As the amount of content users publish on social networking sites rises, so do the danger and costs of inadvertently sharing content with an unintended audience. Studies repeatedly show that users frequently misconfigure their policies or misunderstand the privacy features offered by social networks...