The science of selfies: Researcher finds the secrets to a successful snap

TECH
Monday, 28 Apr 2014
6:18 PM MYT

New research fails to find the reason why people are taking them but it has discovered how to compose a shot to make it as popular as possible.

Aditya Khosla, a PhD student at MIT's Computer Science and Artificial Intelligence Lab (CSAIL), has developed an algorithm — based on information gathered from over 2 million images posted to Flickr — that can accurately predict how popular an image is going to be.

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NEXG	0.530	0.535	0.370	0.380	-0.155	-28.97	1,771,865
HSI-PWJF	0.125	0.135	0.125	0.125	-0.015	-10.71	1,070,141
HSI-CWGX	0.125	0.125	0.105	0.110	-0.010	-8.33	975,019
HSI-PWH2	0.140	0.145	0.135	0.140	-0.010	-6.67	852,810
HSI-CWIC	0.160	0.165	0.150	0.160	-0.015	-8.57	633,358
CLASSITA	0.085	0.095	0.085	0.090	0.010	12.50	609,908
TANCO	0.765	0.775	0.745	0.750	-0.015	-1.96	485,076
MTOUCHE	0.010	0.020	0.010	0.020	0.010	100.00	433,201
TOPGLOV	0.595	0.620	0.590	0.610	0.015	2.52	344,802
PHARMA	0.180	0.190	0.180	0.180	0.000	0.00	309,347
ZETRIX	0.870	0.900	0.870	0.895	0.020	2.29	270,184
YTLPOWR-C77	0.045	0.050	0.045	0.045	0.000	0.00	265,590
EKOVEST	0.395	0.395	0.380	0.380	-0.015	-3.80	263,873
HSI-CWGM	0.095	0.095	0.085	0.090	-0.020	-18.18	263,703
TWL	0.025	0.030	0.025	0.030	0.005	20.00	258,327

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