You have aggregated data. Okay, thank you.
I'm interested in, again, how you're set up. You talk about other third parties. There are environmental and political groups, and they're always identified as political groups, but when Ontario Proud was set up, it was like, “Hey, check out the colours of fall. If you like the colours of fall, click Ontario Proud.” Then it's a campaign of engaging with people who aren't engaged politically.
You send them some nice things about mothers and the fall colours, and then you run headlines like “Scumbag Kathleen Wynne”. That is a kind of misinformation tactic—presenting yourself as just interested in all things Ontario, and then you run this campaign where they say, “That ugly nasty greedy no good money grubbing snot faced witch”; “The ugliest human dyke who ever existed”; and “I'm surprised that no one has shot her but maybe the bullets cost to much”.
When I read that, it really fits into what we heard about Facebook: If something is so far over the line, it gets pulled, but if it gets right up to the line of really aggressive, misogynist hate stuff, it actually peaks, in terms of likes. You can claim that you got more likes than the Toronto Star and the Globe.
Is that the technique, to push it right up to the line, saying, “I'm surprised nobody shot her,” to get the likes to drive your agenda? Is that how you work your algorithm?