Conventional wisdom has it that males on the Internet gravitate toward pictures of pretty women like hungry honeybees to a sugary tulip, and click, click, click.
It's why Tila Tequila has 3,345,634 MySpace friends and Tania Derveaux has 108,907 YouTube subscribers. It's why, on social news site Digg, so many spammers pretend to be attractive women — to attract votes for their stories from Digg users incapable of holding onto their mouse finger when faced with a picture of a pretty woman. But does this method work? We decided to find out.
Hot-girl pics are to Digg users as lists are to editors. Unashamedly, we present the 50 hottest girls on Digg (okay, fine, the first 50 hot girls we found on Digg), and checked their profiles to determine whether they were likely to be real or fake. Then we built a spreadsheet to calculate their "Popular Ratios" — the percentage of their submissions that hit Digg's front page — individually and as a group. The surprising result:
These hot girls only managed to get their submissions to Digg's front page 4.3 percent of the time. What's more, the women we deemed real have an aggregate hit rate of 6 percent, while those with apparently fake profiles only got their stories to Digg's front page 0.15 percent of the time. So much for the conventional wisdom. Maybe the dudes pretending to be girls on Digg aren't trying to get on the homepage — they just like to pretend to be girls. With big boobs.
Voir la liste, les fiches et tous les détails de l'étude sur le site de valleywag
Pour info ce post a obtenu d'excellents scores sur digg..en reprenant cette bonne vieille méthode ..petit malin !
23.7.08
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