On the Influence of Twitter Trolls during the 2016 US Presidential Election
Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Michael, Sirivianos

TL;DR
This study analyzes a massive dataset of tweets from the 2016 US election to assess the influence of troll accounts, revealing that while trolls participated in viral cascades, most did not lead them, with only a few being truly influential.
Contribution
The paper provides a large-scale graph analysis of Twitter data to quantify troll influence and distinguishes between participating and leading roles in misinformation spread.
Findings
Most trolls did not lead viral cascades.
Only four troll accounts were truly influential.
Authentic users primarily drove viral misinformation.
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 aim to quantify the influence of troll accounts and the impact they had on Twitter by analyzing 152.5 million tweets from 9.9 million users, including 822 troll accounts. The data collected during the US election campaign, contain original troll tweets before they were deleted by Twitter. From these data, we constructed a very large interaction graph; a directed graph of 9.3 million nodes and 169.9 million edges. Recently, Twitter released datasets on the misinformation campaigns of 8,275 state-sponsored accounts linked to Russia, Iran and Venezuela…
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Taxonomy
TopicsSocial Media and Politics · Digital Communication and Language
