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A Framework for Measuring Privacy Risks of YouTube

While privacy risks associated with known social networks such as Facebook and Instagram
are well studied, there is a limited investigation of privacy risks of YouTube
videos, which are mainly uploaded by teenagers and young adults, called YouTubers.
This research aims on quantifying the privacy risks of videos when sensitive
information about the private life of a YouTuber is being shared publicly. We developed
a privacy metric for YouTube videos called Privacy Exposure Index (PEI) extending
the existing social networking privacy frameworks. To understand the factors
moderating privacy behaviour of YouTubers, we conducted an extensive survey
of about 100 YouTubers. We have also investigated how YouTube Subscribers and
Viewers may desire to influence the privacy exposure of YouTubers through interactive
commenting on Videos or using other parallels YouTubers’ social networking
channels. For this purpose, we conducted a second survey of about 2000 viewers.
The results of these surveys demonstrate that YouTubers are concerned about their
privacy. Nevertheless inconsistent to this concern they exhibit privacy exposing behaviour
on their videos. In addition, we found YouTubers are being encouraged by
their audience to continue disclosing more personal information on new contents.
Finally, we empirically evaluated the soundness, consistency and applicability of
PEI by analyzing 100 videos uploaded by 10 YouTubers over a period of two years. / Thesis / Master of Science (MSc) / This research aims on quantifying the privacy risks of videos when sensitive
information about the private life of a YouTuber is being shared publicly.

Identiferoai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/25730
Date January 2020
CreatorsCalero, Vanessa
ContributorsSamavi, Reza, Computing and Software
Source SetsMcMaster University
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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