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8/10/17 – Currently, the visualization is displaying real-time Twitter conversation from two sets of accounts. On the left are accounts that are likely Trump-supporters. On the right are likely Democrats, liberals or progressive / “resistance” activists. The algorithm examines language in Twitter bios to make this distinction. I then screen out tweets from likely spammers and bots based on a set of easy-to-identify criteria.

Updated 8/22/17 – This is brand new so please bear with me. Here, I am taking the streams of content from the previous tab (Trump Supporter Tweets and Democrat / Resistance Tweets), but I am only counting posts that contain bad language (words and phrases). You might therefore think of this visualization as a “civility monitor.”