An automated model to score the privacy of unstructured information—Social media case
Abstract
One of the common forms of data which is shared by online social media users is free-text formats including comments, posts, blogs and tweets. While users mostly share this unstructured data with their preferred social groups, this textual data may contain sensitive information such as their political or religious views, job details, their opinions and emotions and so on. Hence, sharing this unstructured data can escalate privacy risks and...
Paper Details
Title
An automated model to score the privacy of unstructured information—Social media case
Published Date
May 1, 2020
Journal
Volume
92
Pages
101778 - 101778
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