What can Machine Learning discover about the Election?

There’s an old saying “If I wanted your opinion, I would have asked for it! Don’t you know opinions are like assholes. Everybody has one and most of them stink.”

But while opinions are always personal, in aggregate, they have a massive impact on society, this can be seen currently by the weightings that social media has today.

Everyone agrees that social media is almost entirely wrong, and yet it has a massive impact.

What can we learn from the volume and content of social media messages?

It doesn’t matter what your politics are, you could be the rightest of right wingers or the more extreme leftist of lefties, you may be religious or not, you may be a scientist or a hippy or some combination of all of these, it doesn’t matter who you are, what you believe or consider important, we all add our own “butterfly effect” ,to the interconnectedness of the online world.

We decided to collect data from a number of key social media sites and perform some basic analytics on it. Just to see what we can discover, and the results are both equal parts disconcerting and very addictive.

We’re using a number of machine learning algorithms to categorize the contents of social media messages, to weigh them and add them into a number of different categories and to aggregate the results into a number of different “pools”.

We have no idea who will win the next election, and while we all have our own teams, it’s fascinating to measure and analyze the world through this lens.

We’re turning politics into science (maybe even humor and maybe a little bit of sport).

How will your team fare in the cold, hard, analytical light of the internet?

https://www.gocypher.com/usa-elections/

#biden #trump #pence #harris #election #us election #gocypher #dnc

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