Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter
Nikos Salamanos, Michael J. Jensen, Costas Iordanou, Michael, Sirivianos

TL;DR
This study analyzes 152.5 million tweets from the 2016 US election to assess the influence of state-sponsored troll accounts, revealing that regular users drove virality despite trolls being more influential on average.
Contribution
It provides a comprehensive influence ranking of Twitter accounts during the 2016 election, combining large-scale graph analysis and game-theoretic measures to quantify troll impact.
Findings
Regular users were the main drivers of virality.
Troll accounts, though fewer, were significantly more influential.
Many top influential accounts have been suspended by Twitter.
Abstract
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presidential election, spreading millions of tweets with misinformation and inflammatory political content. Whether these social media campaigns of the so-called "troll" accounts were able to manipulate public opinion is still in question. Here, we quantify the influence of troll accounts on Twitter by analyzing 152.5 million tweets (by 9.9 million users) from that period. The data contain original tweets from 822 troll accounts identified as such by Twitter itself. We construct and analyse a very large interaction graph of 9.3 million nodes and 169.9 million edges using graph analysis techniques, along with a game-theoretic centrality measure. Then, we quantify the influence of all Twitter accounts on the overall information exchange as is defined by the retweet cascades. We provide a global…
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Taxonomy
TopicsSocial Media and Politics · Misinformation and Its Impacts · Complex Network Analysis Techniques
