On the Influence of Twitter Trolls during the 2016 US Presidential Election
| Main Authors: | Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Michael Sirivianos |
|---|---|
| Format: | info publication-other |
| Terbitan: |
, 2019
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| Online Access: |
https://zenodo.org/record/3540802 |
Daftar Isi:
- It is a widely accepted fact that state–sponsored Twitter ac- counts operated during the 2016 US presidential election spreading millions of tweets with misinformation and inflam- matory political content. Whether these social media cam- paigns 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, includ- ing 822 troll accounts. The data collected during the US elec- tion 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 as part of the investigation on the foreign interference in the 2016 US election. These data serve as ground–truth identifier of troll users in our dataset. Us- ing graph analysis techniques we qualify the diffusion cascades of web and media context that have been shared by the troll accounts. We present strong evidence that authentic users were the source of the viral cascades. Although the trolls were par- ticipating in the viral cascades, they did not have a leading role in them and only four troll accounts were truly influential.