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Twitter Influence Operation in the 2020 Election: Are We at Risk Again?

Case Study: 7th Primary Debate on January 14th 2020

In the 7th and last Democratic Debate, we analyzed a sample of Twitter data to measure the sentiment of twitter users about some of the top candidates for the presidency. This data was scraped from Twitter before and after the debate.



How much of what you are seeing is from a bot?

Some portion of the hashtags trending after the 1/15/2020 debate were created by "troll_bots," which are real people or twitter bots that share misrepresented or fake information on twitter. We gathered this data using Twitter's API and information from Bot_Sentinel.

Some hashtags are much more active with troll_bots than others. In our analysis, for #MAGA and #MAGA2020 over 30 percent of twitter users using this hashtags were troll_bots. For other hashtags, such as #NeverWarren, the number is lower at 2 percent.

Tweet Tweet

Some of the most influential tweets shared by troll_bots are Trump's tweets. However, other high engagement tweets by troll_bots reinforce far right ideas and opposition to liberal politicians and activists.

These above tweets are a few examples of the content shared by troll_bots. The network of troll_bots that make up large portions of popular hashtags have tremendous influence in the spread of disinformation. Troll_bots are likely to influence the 2020 elections at least as much, if not more, than the 2016 elections.