Abstract

We characterize the Twitter networks of the major presidential candidates, Donald J. Trump and Hillary R. Clinton, with various American hate groups defined by the US Southern Poverty Law Center (SPLC). We further examined the Twitter networks for Bernie Sanders, Ted Cruz, and Paul Ryan, for 9 weeks around the 2016 election (4 weeks prior to the election and 4 weeks post-election). We carefully account for the observed heterogeneity in the Twitter activity levels across individuals through the null hypothesis of apathetic retweeting that is formalized as a random network model based on the directed, multi-edged, self-looped, configuration model. Our data revealed via a generalized Fisher’s exact test that there were significantly many Twitter accounts linked to SPLC-defined hate groups belonging to seven ideologies (Anti-Government, Anti-Immigrant, Anti-LGBT, Anti-Muslim, Alt-Right, White-Nationalist and Neo-Nazi) and also to @realDonaldTrump relative to the accounts of the other four politicians. The exact hypothesis test uses Apache Spark’s distributed sort and join algorithms to produce independent samples in a fully scalable way from the null model. Additionally, by exploring the empirical Twitter network we found that significantly more individuals had the fewest retweet degrees of separation simultaneously from Trump and each one of these seven hateful ideologies relative to the other four politicians. We conduct this exploration via a geometric model of the observed retweet network, distributed vertex programs in Spark’s GraphX library and a visual summary through neighbor-joined population retweet ideological trees. Remarkably, less than 5% of individuals had three or fewer retweet degrees of separation simultaneously from Trump and one of several hateful ideologies relative to the other four politicians. Taken together, these findings suggest that Trump may have indeed possessed unique appeal to individuals drawn to hateful ideologies; however, such individuals constituted a small fraction of the sampled population.

Highlights

  • The 2016 US presidential election will be remembered as one of the most divisive in recent history with two of the least liked candidates competing for the White House (Enten 2016; ABC News/Washington Post 2016)

  • We focused only on hate groups which the Southern Poverty Law Center (SPLC) has designated as promoting a particular hateful ideology in order to examine the appeal of major politicians for subscribers to that ideology

  • Using 9 weeks of Twitter data collected around the 2016 US presidential election involving nearly 22 million communication events, the present research examined the Twitter linkages between five major American political leaders (Donald Trump, Hillary Clinton, Ted Cruz, Bernie Sanders, and Paul Ryan) with American hate groups

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Summary

Introduction

The 2016 US presidential election will be remembered as one of the most divisive in recent history with two of the least liked candidates competing for the White House (Enten 2016; ABC News/Washington Post 2016). It was argued that Trump’s rise was driven by uncertainty and angst in the American public (Pew Research Center 2015; Reicher and Haslam 2017; Hochschild 2016) as well as frustration and distrust of a partisan political system (Packer 2016; Roussos 2016; Ball 2016). This first narrative broadly reflects a number

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Dataset
Retweet network
Apathetic retweet network model
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Degrees of separation in geometric retweet network model
Results and discussion
Frequencies of direct retweets of politicians by hate groups
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Frequencies of retweeters of politicians and hate groups
Effect of bot and troll accounts
Degrees of separation from politicians and hate groups
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Conclusion
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Full Text
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