Online Ads Discriminate

August 3, 2015

In our modern age, discrimination is supposed to be a thing of the past.  When it does appear, people take to the Internet to vent their rage and frustrations, eager to point out this illegal activity.  Online ads, however, lack human intelligence and are only as smart as their programmed algorithm.  Technology Review explains in “Probing The Dark Side of Google’s Ad-Targeting System” that Google’s ad service makes inaccurate decisions when it comes to gender and other personal information.

A research team at Carnegie Mellon University and the International Computer Science Institute built AdFisher, a tool to track targeted third party ads on Google.  AdFisher found that ads were discriminating against female users.  Google offers a transparency tool that allows users to select what types of ads appear on their browsers, but even if you use the tool it doesn’t stop some of your personal information from being used.

“What exactly caused those specific patterns is unclear, because Google’s ad-serving system is very complex. Google uses its data to target ads, but ad buyers can make some decisions about demographics of interest and can also use their own data sources on people’s online activity to do additional targeting for certain kinds of ads. Nor do the examples breach any specific privacy rules—although Google policy forbids targeting on the basis of “health conditions.” Still, says Anupam Datta, an associate professor at Carnegie Mellon University who helped develop AdFisher, they show the need for tools that uncover how online ad companies differentiate between people.”

The transparency tool only controls some of the ads and third parties can use their own tools to extract data.  Google stands by its transparency tool and even offers users the option to opt-out of ads.  Google is studying AdFisher’s results and seeing what the implications are.

The study shows that personal data spills out on the Internet every time we click a link or use a browser.  It is frightening how the data can be used and even hurtful if interpreted incorrectly by ads.  The bigger question is not how retailers and Google uses the data, but how do government agencies and other institutes plan to use it?

Whitney Grace, August 3, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

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