Two crises marcomms pros didn’t expect in 2017 -- before 2017 happened ...
1. Tiki Torch having to distance itself from Nazis.
2. Facebook having to turn off it’s “self-reporting” category so advertisers couldn’t target bigots.
Ina Fried (who has been doing some great reporting at the intersection of tech and politics) had this today:
It is concerning enough that Facebook's ad system was letting buyers target people with self-described categories like "Jew hater" until ProPublica brought the issue to the social network's attention. (Facebook has now temporarily disabled the self-reported education and employer targeting fields, which is where most of the offenses occurred.)
But frightening as the current situation is, it actually raises a larger and potentially more challenging issue that looms not far on the horizon.
The big question: What about when Facebook's and Google's algorithms are good enough to know that an advertiser wants to target bigots without them needing to type in "Jew hater"?
Why this is a concern: We know about this current problem because Facebook's algorithms are still manual enough that buyers are targeting by keyword. But what about when the system is good enough to understand the kind of person someone is trying to reach, without requiring someone to type in such obviously offensive keywords?
It's issues like these that the tech industry needs to confront now, at the dawn of the machine-learning era, before our biases become codified.
Sigh.