'A study from the Norwegian Consumer Council dug into the underhanded tactics used by Microsoft, Facebook, and Google to collect user data. "The findings include privacy intrusive default settings, misleading wording, giving users an illusion of control, hiding away privacy-friendly choices, take-it-or-leave-it choices, and choice architectures where choosing the privacy friendly option requires more effort for the users," states the report, which includes images and examples of confusing design choices and strangely worded statements involving the collection and use of personal data. Google makes opting out of personalized ads more of a chore than it needs to be and uses multiple pages of text, unclear design language, and, as described by the report, "hidden defaults" to push users toward the company's desired action. "If the user tried to turn the setting off, a popup window appeared explaining what happens if Ads Personalization is turned off, and asked users to reaffirm their choice," the report explained. "There was no explanation about the possible benefits of turning off Ads Personalization, or negative sides of leaving it turned on." Those who wish to completely avoid personalized ads must traverse multiple menus, making that "I agree" option seem like the lesser of two evils. In Windows 10, if a user wants to opt out of "tailored experiences with diagnostic data," they have to click a dimmed lightbulb, while the symbol for opting in is a brightly shining bulb, says the report. Another example has to do with Facebook. The social media site makes the "Agree and continue" option much more appealing and less intimidating than the grey "Manage Data Settings" option. The report says the company-suggested option is the easiest to use. "This 'easy road' consisted of four clicks to get through the process, which entailed accepting personalized ads from third parties and the use of face recognition. In contrast, users who wanted to limit data collection and use had to go through 13 clicks."' -- source: https://tech.slashdot.org/story/18/06/27/2233234 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/