Анализ поведения троллей и ботов в день голосования:
The Daily Beast analyzed a dataset of 6.5 million tweets containing election keywords like “Hillary” and “Trump” that was collected over 33 hours last Nov. 7-9 by Baltimore-based data scientist Chris Albon. The data are not comprehensive—only tweets with one of the keywords were collected, and limitations in Twitter’s API prevent a full capture even of those. But they represent a significant sampling of Election Day Twitter. https://www.thedailybeast.com/exclusive-russia-activated-twitter-sleeper-cells-for-election-day-blitz
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Date: 2017-11-08 02:01 am (UTC)The Daily Beast analyzed a dataset of 6.5 million tweets containing election keywords like “Hillary” and “Trump” that was collected over 33 hours last Nov. 7-9 by Baltimore-based data scientist Chris Albon.
The data are not comprehensive—only tweets with one of the keywords were collected, and limitations in Twitter’s API prevent a full capture even of those. But they represent a significant sampling of Election Day Twitter.
https://www.thedailybeast.com/exclusive-russia-activated-twitter-sleeper-cells-for-election-day-blitz