Home > Ape Mind, Dystopia, Escorts > Self Shots, GPS Enabled Smartphones and Data Mining

Self Shots, GPS Enabled Smartphones and Data Mining

I have had some reservations about writing this post, but the more I thought about it.. the more it became obvious that it should be written, as the implications are staggering. I had thought of this possibility the first time I used a iPhone over a year ago.

First an introduction of the terms:

Self-shots are an extension of the normal attention seeking behavior of, young and now older, women in which they either take pictures of themselves in various states of undress or performing sexual acts. These photos are often sent to their sexual partners by multimedia texting, e-mail or other electronic means.

GSP Enabled Smartphones such as the iPhone can take take fairly decent pictures, often with embedded GPS and other data (EXIF). They also help users send them to others, and post them to online sites more easily than traditional cellphones.

Data mining is the process of extracting patterns from data from databases to transform it into information. Whether you tracking people’s residence history, criminal records etc.. you are using data mining.

Anyway, self shots of undressed girls have been a staple of internet boards in the last 5 years. However, by and large, they could not be easily identified or located unless they chose to tell or their ex- was mad at them.

The iPhone and other GPS enabled phones (and even some cameras) have changed that situation. Now it is possible to extract a lot of information from the non-picture part of such picture files. The information accessible includes not only the GPS co-ordinates of that picture, but also fun facts like the real date/ time it was taken (and there are ways to interrogate even more information out of the picture).

Google earth and streetview makes it is possible to have a look at the location and house they were shot in. A little further data mining can easily tell you even more about it’s occupants, which can then be cross referenced with social networks. You see where I am going.

I see a future, very soon, where you could use the cell-phone number of a girl to search for self-shot pictures of her at ‘gray’ information sites. Given the decreasing cost of data storage, access, transmission and computing power combined with the increased use of smartphones, the possibilities are mind boggling.

Given that a significant minority of girls have sexted, and this trend can only go up (for reasons that male readers understand well) it may one day be possible to just use a normal picture of the girl’s face, name or telephone number (or it’s future equivalent) to see how she looks like undressed or giving head. Since social shame is no longer operational, the future looks bright (depending on your outlook). It also helps that smartphones are cheaper and more widespread than even a year ago.

In case you were wondering, most people who use smartphones like to add location information to their pictures and therefore it is unlikely that geotagging will be disabled. In many cases people are also too lazy to turn it on and off as desired.

Comments?

Here are some examples- iPhone GPS Exif Data Extraction and Extrapolation contains NSFW pictures

Categories: Ape Mind, Dystopia, Escorts
  1. May 23, 2010 at 7:41 am

    I hadn’t seen this post before. Thank you though, I’m not sure many people realize it.

  2. Y
    May 23, 2010 at 8:46 pm

    LOL

  3. Anonymous
    October 11, 2010 at 7:40 pm

    Y :
    LOL

    That will be all.

  4. fubar
    June 21, 2011 at 7:22 am

    What do you mean by “Given that a significant minority of girls have sexted”, and why can it “only go up”?

  5. October 22, 2013 at 8:53 pm

    Farewell to privacy and discretion (well, this is what lazy people who are too lazy to disable geotagging will say)…

  1. May 23, 2010 at 12:03 am
  2. June 2, 2010 at 11:38 am
  3. January 8, 2011 at 1:38 pm
  4. June 3, 2011 at 1:01 am
  5. June 8, 2011 at 9:41 pm
  6. June 18, 2011 at 3:30 pm
  7. October 24, 2013 at 11:21 am

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