BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//The Sustainable Computing Lab - ECPv6.0.11//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.sustainablecomputing.eu
X-WR-CALDESC:Events for The Sustainable Computing Lab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20191030T150000
DTEND;TZID=Europe/Paris:20191030T163000
DTSTAMP:20260429T193949
CREATED:20190917T130112Z
LAST-MODIFIED:20190917T130112Z
UID:1488-1572447600-1572453000@www.sustainablecomputing.eu
SUMMARY:David Garcia: Online privacy as a complex phenomenon
DESCRIPTION:Preserving individual control over private information is one of the rising concerns in our digital society. Online social networks exist in application ecosystems that allow them to access data from other services\, for example gathering contact lists through mobile phone applications. Such data access might allow social networking sites to create shadow profiles with information about non-users that has been inferred from information shared by the users of the social network. I will present our work on testing this privacy risk for sexual orientation\, marital status\, and location inference in Twitter and Friendster\, a disappeared social network. Our findings illustrate that individuals are not in full control of their online privacy and that sharing personal data with a social networking site is a complex decision that is collectively mediated by the decisions of others.
URL:https://www.sustainablecomputing.eu/event/online-privacy-as-a-complex-phenomenon/
END:VEVENT
END:VCALENDAR