Text Document

Towards an Understanding of Social Inference Opportunities in Social Computing

Fulltext URI

Document type

Additional Information

Date

2012

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery

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.

Description

Mayer, Julia M.; Schuler, Richard P.; Jones, Quentin (2012): Towards an Understanding of Social Inference Opportunities in Social Computing. Proceedings of the 2012 ACM International Conference on Supporting Group Work. DOI: 10.1145/2389176.2389212. New York, NY, USA: Association for Computing Machinery. pp. 239–248. Sanibel Island, Florida, USA

Citation

Tags

Collections