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I generally refrain from posting a comment but the current debate is just getting ridiculous. Its more about people hating facebook rather than any real ethical issues. The worst part being, how the IRB's are invoked as if they are filled with ethical gods. A similar situation has happened before as explained here in the NYTimes article by Atul Gawande http://www.nytimes.com/2007/12/30/opinion/30gawande.html?_r=...

The key question is at what point is a certain method a quality control decision vs a research experiment. What Facebook did was an internal quality investigation. What are they supposed to do show posts at random, for this to qualify as an "experiment" we need a baseline. In reality there is no such baseline.




> What Facebook did was an internal quality investigation.

If it was an internal quality investigation, why was the experiment designed by Cornell researchers, and published in PNAS?


Yeah I seem to be in the minority in that I find it hard to get upset here. In fact, the lesson I take away is that if you, as a company--especially a highly visible one, do any sort of A/B testing which might be remotely seen as manipulating behavior by anyone (which covers broad ground), you probably shouldn't make it public.

I'm not sure I see how this is all that different from running a bunch of ads with different messages and/or emotional content and seeing how they differential ly perform.


No...

You should tell your users and include it in your TOS. (not do it, then add it to your TOS after the fact).


Yup, that's the big issue in my opinion. Their TOS never had research as condition that you accept. When Reddit decided to use their data-set for research and make it available, they had a public blog post explicitly calling it out and had an option to disable your data for research. Naturally I opted out. I was informed of the change and I acted on it. Those users on Facebook never agreed to the research component of the ToS (because it didn't exist yet), did not know they were involved, and were included in a PNAS study that had Cornell researchers involved.




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