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Towards an Understanding of Social Inference Opportunities in Social Computing

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Association for Computing Machinery

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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.

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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

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personalization, social inference, impression management, privacy, social computing

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Number of citations to item: 5

  • Ayodele Alejo, Clinton Aigbavboa, Douglas Aghimien (2024): How Can Safety Contribute to Working Conditions in the Construction Industry? A Conceptual Framework, In: Sustainability 18(16), doi:10.3390/su16188213
  • Alice Toniolo, Timothy J. Norman, Nir Oren (2018): Enumerating Preferred Extensions: A Case Study of Human Reasoning, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-75553-3_14
  • Katerina Zdravkova (2016): Reinforcing Social Media Based Learning, Knowledge Acquisition and Learning Evaluation, In: Procedia - Social and Behavioral Sciences, doi:10.1016/j.sbspro.2016.07.003
  • Julia M. Mayer, Starr Roxanne Hiltz, Quentin Jones (2015): Making Social Matching Context-Aware, In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, doi:10.1145/2702123.2702343
  • Julia M. Mayer, Quentin Jones, Starr Roxanne Hiltz (2015): Identifying Opportunities for Valuable Encounters, In: ACM Transactions on Information Systems 1(34), doi:10.1145/2751557
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