Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/753
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dc.contributor.authorNanda, Vedant-
dc.contributor.authorKumaraguru, Ponnurangam (Advisor)-
dc.date.accessioned2019-10-07T09:14:10Z-
dc.date.available2019-10-07T09:14:10Z-
dc.date.issued2018-04-18-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/753-
dc.description.abstractSel es have become a prominent medium for self-portrayal on social media. Unfortunately, certain social media users go to extreme lengths to click selfies , which puts their lives at risk. Two hundred and thirty-two individuals have died from March 2014 until November 2018 while trying to click sel fies. It is imperative to be able to identify dangerous sel fies posted on social media platforms to be able to build an intervention for users going to extreme lengths for clicking such sel fies. In this work, analyze this problem space using social media data and build tools to prevent such casualties.en_US
dc.language.isoen_USen_US
dc.publisherIIITD-Delhien_US
dc.subjectSelfi esen_US
dc.subjectKill fiesen_US
dc.subjectDeep Learningen_US
dc.subjectSocial content sharingen_US
dc.subjectSocial mediaen_US
dc.subjectTransfer learningen_US
dc.subjectSupport vector machinesen_US
dc.subjectOnline Social Networksen_US
dc.subjectCollaborative and Social Computing Systems and Toolsen_US
dc.title#KillFie: understanding dangerous selfi esen_US
dc.typeOtheren_US
Appears in Collections:Year-2018

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