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From Camera to Deathbed: Understanding Dangerous Selfies on Social Media

Authors

Hemank Lamba,Varun Bharadhwaj,Mayank Vachher,Divyansh Agarwal,Megha Arora,Niharika Sachdeva,Ponnurangam Kumaraguru

Carnegie Mellon University,National Institute of Technology, Tiruchirappalli,Indraprastha Institute of Information Technology, Delhi,Indraprastha Institute of Information Technology, Delhi,Carnegie Mellon University,Indraprastha Institute of Information Technology, Delhi,Indraprastha Institute of Information Technology, Delhi


Proceedings:

Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media

Volume

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Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media

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Poster Papers

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Abstract:

Selfie culture has emerged as a ubiquitous instrument for self portrayal in recent years. To portray themselves differently and attractive to others, individuals may risk their life by clicking selfies in dangerous situations. Consequently, selfies have claimed 137 lives around the world since March 2014 until December 2016. In this work, we perform a comprehensiv analysis of the reported selfie-casualties and note various reasons behind these deaths. We perform an in-depth analysis of such selfies posted on social media to identify dangerous selfies and explore a series of statistical models to predict dangerous posts. We find that our multimodal classifier using combination of text-based, image-based and location-based features performs the best in spotting dangerous selfies. Our classifier is trained on 6K annotated selfies collected on Twitter and gives 82% accuracy for identifying whether a selfie posted on Twitter is dangerous or not.

DOI:

10.1609/icwsm.v11i1.14956


ICWSM

Vol. 11 No. 1 (2017): Eleventh International AAAI Conference on Web and Social Media