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2014
Journal Article
Titel
An adaptive trust metric allowing CRM operators to protect sensitive data during interaction in online social media
Abstract
Modern individuals increasingly disclose personal information in today's information-driven society through online platforms. This information is used by the online platform fora particular context-and may be reused by other partners or users of the platform in ways that may not have been intended. Current examples include email harvesting for spar, personal photographs used in advertising, or maintaining competitor information without explicit purposed consent. With integration and aggregation of information becoming increasingly popular across online platforms through the rise of online collaboration, privacy issues such as unintentional information disclosure become increasingly critical. This is particularly true where individuals representing corporations interact with online platforms using personal accounts to manage both business and private relationships: there is an inherent risk that sensitive information could be inadvertently shared to the wrong audience, with non-trivial consequences.