Incidental Data: Observation of Privacy Compromising Data on Social
Media Platforms
- URL: http://arxiv.org/abs/2208.08687v1
- Date: Thu, 18 Aug 2022 07:49:26 GMT
- Title: Incidental Data: Observation of Privacy Compromising Data on Social
Media Platforms
- Authors: Stefan Kutschera
- Abstract summary: We show how unindented published data can be revealed and further analyze possibilities that can potentially compromise one's privacy.
We were able to show that only 2 hours of manually fetching data are sufficient in order to unveil private personal information.
Our work has shown that awareness among persons on social media needs to be raised.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Social media plays an important role for a vast majority in one's internet
life. Likewise, sharing, publishing and posting content through social media
became nearly effortless. This unleashes new threats as unintentionally shared
information may be used against oneself or beloved ones. With open source
intelligence data and methods, we show how unindented published data can be
revealed and further analyze possibilities that can potentially compromise
one's privacy. This is backed up by a popular view from interviewed experts
from various fields of expertise. We were able to show that only 2 hours of
manually fetching data are sufficient in order to unveil private personal
information that was not intended to be published by the person. Two
distinctive methods are described with several approaches. From our results, we
were able to describe a thirteen-step awareness guideline and proposed a change
of law within Austrian legislation. Our work has shown that awareness among
persons on social media needs to be raised. Critically reflecting on our work
has revealed several ethical implications that made countermeasures necessary;
however, it can be assumed that criminals do not do that.
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