  Privacy is a well-understood concept in the physical world, with us all
desiring some escape from the public gaze. However, while individuals might
recognise locking doors as protecting privacy, they have difficulty practising
equivalent actions online. Privacy salience considers the tangibility of this
important principle; one which is often obscured in digital environments.
Through extensively surveying a range of studies, we construct the first
taxonomies of privacy salience. After coding articles and identifying
commonalities, we categorise works by their methodologies, platforms and
underlying themes. While web browsing appears to be frequently analysed, the
Internet-of-Things has received little attention. Through our use of category
tuples and frequency matrices, we then explore those research opportunities
which might have been overlooked. These include studies of targeted advertising
and its affect on salience in social networks. It is through refining our
understanding of this important topic that we can better highlight the subject
of privacy.
