Publication statistics

Pub. period:2007-2010
Pub. count:4
Number of co-authors:6


Number of publications with 3 favourite co-authors:

Richard P. Schuler:
Julia M. Mayer:
Sotirios Ziavras:



Productive colleagues

Sara Motahari's 3 most productive colleagues in number of publications:

Quentin Jones:28
Richard P. Schuler:4
Sotirios Ziavras:2

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Sara Motahari


Publications by Sara Motahari (bibliography)

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Mayer, Julia M., Motahari, Sara, Schuler, Richard P. and Jones, Quentin (2010): Common attributes in an unusual context: predicting the desirability of a social match. In: Proceedings of the 2010 ACM Conference on Recommender Systems 2010. pp. 337-340.

Social matching systems recommend people to other people. With the widespread adoption of smartphones, mobile social matching systems could potentially transform our social landscape. However, we have a limited understanding of what makes a good social match in the mobile context. We present a theoretical framework which outlines how a user's context and the rarity of different affinity measures in various contexts (match rarity) can be used to provide valuable social matches. We suggest that if a user attribute is very rare in a particular context, users will generally be more interested in an affinity match. We conducted a survey study to assess this framework with 117 respondents. We found that both context and match rarity significantly influence interest in a social match. These results validate the key aspects of the framework. We discuss the results in terms of implications for social matching system design.

© All rights reserved Mayer et al. and/or ACM Press

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Motahari, Sara, Ziavras, Sotirios, Schuler, Richard P. and Jones, Quentin (2009): Identity Inference as a Privacy Risk in Computer-Mediated Communication. In: HICSS 2009 - 42st Hawaii International International Conference on Systems Science 5-8 January, 2009, Waikoloa, Big Island, HI, USA. pp. 1-10.

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Motahari, Sara, Ziavras, Sotirios and Jones, Quentin (2009): Designing for different levels of social inference risk. In: Proceedings of the 2009 Symposium on Usable Privacy and Security 2009. p. 23.

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Motahari, Sara, Manikopoulos, Constantine, Hiltz, Roxanne and Jones, Quentin (2007): Seven privacy worries in ubiquitous social computing. In: Proceedings of the 2007 Symposium on Usable Privacy and Security 2007. pp. 171-172.

Review of the literature suggests seven fundamental privacy challenges in the domain of ubiquitous social computing. To date, most research in this area has focused on the features associated with the revelation of personal location data. However, a more holistic view of privacy concerns that acknowledges these seven risks is required if we are to deploy privacy respecting next generation social computing applications. We highlight the threat associated with user inferences made possible by knowledge of the context and use of social ties. We also describe work in progress to both understand user perceptions and build a privacy sensitive urban enclave social computing system.

© All rights reserved Motahari et al. and/or ACM Press

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