PC-53179.yaml

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speaker_name: "Roberto Rocha"

talk_title: "Using Python to find Russian Twitter troll tweets aimed at Canada"

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talk_tags:
- "pandas"
- "regex"
- "text mining"


talk_abstract: "Paid internet trolls linked to the Russian government tried to influence the U.S. election with divisive social media posts. But they also targeted Canadians, at a smaller scale. Here's how I used Python to find tweets aimed at dividing Canadians among a trove of 3 million troll tweets."

talk_details: "It's known that the Internet Research Agency, a troll farm in St. Petersburg, tried to sow division among Americans by flooding social media with inflammatory content on both sides of a debate. A trove of 3 million tweets associated with these troll accounts was made public. Using pandas and some regex, I found about 8,000 that were seemingly aimed at polarizing Canadians. This talk will briefly go over this research that was made into a news story for the CBC."




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author_website: ''