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#KillFie: understanding dangerous selfi es

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dc.contributor.author Nanda, Vedant
dc.contributor.author Kumaraguru, Ponnurangam (Advisor)
dc.date.accessioned 2019-10-07T09:14:10Z
dc.date.available 2019-10-07T09:14:10Z
dc.date.issued 2018-04-18
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/753
dc.description.abstract Sel 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.iso en_US en_US
dc.publisher IIITD-Delhi en_US
dc.subject Selfi es en_US
dc.subject Kill fies en_US
dc.subject Deep Learning en_US
dc.subject Social content sharing en_US
dc.subject Social media en_US
dc.subject Transfer learning en_US
dc.subject Support vector machines en_US
dc.subject Online Social Networks en_US
dc.subject Collaborative and Social Computing Systems and Tools en_US
dc.title #KillFie: understanding dangerous selfi es en_US
dc.type Other en_US

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