Author:
Sayed Mahmoud F.,Mallekav Nishanth,Oard Douglas W.
Publisher
Springer International Publishing
Reference31 articles.
1. Sayed, M.F., Oard, D.W.: Jointly modeling relevance and sensitivity for search among sensitive content. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 615–624. ACM (2019)
2. Thompson, E.D., Kaarst-Brown, M.L.: Sensitive information: a review and research agenda. J. Am. Soc. Inf. Sci. Technol. 56(3), 245–257 (2005)
3. Gabriel, M., Paskach, C., Sharpe, D.: The challenge and promise of predictive coding for privilege. In: ICAIL 2013 DESI V Workshop (2013)
4. Mcdonald, G., Macdonald, C., Ounis, I.: How the accuracy and confidence of sensitivity classification affects digital sensitivity review. ACM Trans. Inf. Syst. (TOIS) 39(1), 1–34 (2020)
5. Iqbal, M., Shilton, K., Sayed, M.F., Oard, D., Rivera, J.L., Cox, W.: Search with discretion: value sensitive design of training data for information retrieval. Proc. ACM Human Comput. Interact. 5, 1–20 (2021)