Towards an understanding of social inference opportunities in social computing
Document Type
Conference Proceeding
Publication Date
12-4-2012
Abstract
Social computing applications are transforming the way we make new social ties, work, learn and play, thus becoming an essential part our social fabric. As a result, people and systems routinely make inferences about people's personal information based on their disclosed personal information. Despite the significance of this phenomenon the opportunity to make social inferences about users and how this process can be managed is poorly understood. In this paper we 1) outline why social inferences are important to study in the context of social computing applications, 2) how we can model, understand and predict social inference opportunities 3) highlight the need for social inference management systems, and 4) discuss the design space and associated research challenges. Collectively, this paper provides the first systematic overview for social inference research in the area of social computing. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).
Identifier
84870257659 (Scopus)
ISBN
[9781450314862]
Publication Title
Group 12 Proceedings of the ACM 2012 International Conference on Support Group Work
External Full Text Location
https://doi.org/10.1145/2389176.2389212
First Page
239
Last Page
248
Recommended Citation
Mayer, Julia M.; Schuler, Richard P.; and Jones, Quentin, "Towards an understanding of social inference opportunities in social computing" (2012). Faculty Publications. 17880.
https://digitalcommons.njit.edu/fac_pubs/17880
