Chances are, doing this will get you kicked off Facebook and deleted pretty quickly. And if it doesn't, you've just fucked with not just Facebook, but all their advertisers. GIGO.
Chances are, doing this will get you kicked off Facebook and deleted pretty quickly. And if it doesn't, you've just fucked with not just Facebook, but all their advertisers. GIGO.
If FB does not block/delete your account, it will be non-stop hilarity for your friends, who will probably share the pics too and maybe some of them will actually pause and think. If they do delete your account, you are now mostly free from their clutches without unnecessarily defacing your own profile.
Someone please write this script and put it on GitHub. :-)
If Facebook does this with the data of an EU resident, they are breaking the law. The Irish Data Protection Commissioner has audited Facebook and found that their deletion of user data was in compliance.
See Microsoft's Tay: http://gizmodo.com/here-are-the-microsoft-twitter-bot-s-craz...
https://www.youtube.com/watch?v=sphFCJE1HkI#t=7m50s
So you can use Google itself to find words which are obviously not well known (just construct a dictionary filled with random characters and see how many results come back for each word). Take a passage of clean text, and randomly replace the nouns in the text with these garbage words (capitalize the first character), and post it to your social network. The surrounding text will provide legitimacy, but the garbage words will probably throw off the algorithms. Do it often enough, and someone at Google will probably investigate the issue :-)
Or maybe go and get public domain text which has a lot of words which are not in use today and fill up your FB/Google/Twitter feeds with such data. My view is that such data will very likely throw off the existing algorithms, and if people do it at sufficient scale, we may discover that ML algorithms are only as smart as the training data set.