Privacy and information sharing

By Lee Rainie, Maeve Duggan. 2016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Vasyl Pihur
2. Aleksandra Korolova
3. Frederick Liu
4. Subhash Sankuratripati
5. M. Yung
6. Dachuan Huang
7. Ruogu Zeng
8. Ponnurangam Kumaraguru

Citations in the corpus

• Differentially-Private "Draw and Discard" Machine Learning (2018, background): “Sharing personal data that contributes to a global ML model and benefits everyone on the network—in many cases, the data collector the most– can be viewed as undesirable by many privacy sensitive users, due to distrust in the data collector or risks of subpoenas, data breaches and internal threats [”
• Collective aspects of privacy in the Twitter social network (2018, background): “in online social networks: A 2016 Pew Research Center survey [5] showed that more than”