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Analysing Russian Troll Tweets data with Python


This talk focuses on the insights gathered from analysis of Russian Troll Tweets, a dataset created by researchers at Clemson University and released on Github by FiveThirtyEight.

Social media sites are increasingly used for propagation of misinformation. Recent efforts include sophisticated campaigns run on Facebook and Twitter which aimed to interfere in the 2016 US elections and politics. This talk will focus on a campaign that saw trolls engaged in such efforts on Twitter. Insights obtained with Exploratory Data Analysis (EDA) and text analysis of Russian Troll Tweets dataset will be presented. The talk will also highlight the importance of combating misinformation and computational propaganda.


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