Dataset for the "Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter" paper. The full text of the paper can be found here. The folder "Tweet_IDs" contains the complete list of the 152,514,929 tweet IDs (together with their timestamps) which we used for the analysis in the study: "Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter" by Nikos Salamanos, Michael J. Jensen, Costas Iordanou and Michael Sirivianos We have split the tweets into separate .zip files based on the date listed in their timestamps. The crawling took place from September 21 to November 7, 2016 (47 days; we did not collect data on 02/10/2016). Each ...
TSV file containing Twitter tweet_ids from the Timelines of 12,200 Twitter users collected using a s...
2016 USA presidential election results surprised many in America. Most experts and traditional polls...
The flow of misinformation and disinformation around the 2016 U.S. presidential election put the pro...
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presi...
It is a widely accepted fact that state–sponsored Twitter ac- counts operated during the 2016 US pre...
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presi...
We present a focused dataset of misinformation in the US 2016 election. Our dataset is made up of tw...
This is the dataset used for the study "Who Let The Trolls Out? Towards Understanding State-Sponsore...
The data in this assignment is a collection of tweets that were determined to come from the Internet...
The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains ...
The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains ...
Finding the extent of measurable benefits of social media on political outcomes is not easy. My pape...
This dataset contains the tweet ids of approximately 280 million tweets related to the 2016 United S...
This repository contains the data for the paper "How Twitter Data Sampling Biases U.S. Voter Behavio...
This paper introduces and presents a first analysis of a uniquely curated dataset of misinformation,...
TSV file containing Twitter tweet_ids from the Timelines of 12,200 Twitter users collected using a s...
2016 USA presidential election results surprised many in America. Most experts and traditional polls...
The flow of misinformation and disinformation around the 2016 U.S. presidential election put the pro...
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presi...
It is a widely accepted fact that state–sponsored Twitter ac- counts operated during the 2016 US pre...
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presi...
We present a focused dataset of misinformation in the US 2016 election. Our dataset is made up of tw...
This is the dataset used for the study "Who Let The Trolls Out? Towards Understanding State-Sponsore...
The data in this assignment is a collection of tweets that were determined to come from the Internet...
The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains ...
The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains ...
Finding the extent of measurable benefits of social media on political outcomes is not easy. My pape...
This dataset contains the tweet ids of approximately 280 million tweets related to the 2016 United S...
This repository contains the data for the paper "How Twitter Data Sampling Biases U.S. Voter Behavio...
This paper introduces and presents a first analysis of a uniquely curated dataset of misinformation,...
TSV file containing Twitter tweet_ids from the Timelines of 12,200 Twitter users collected using a s...
2016 USA presidential election results surprised many in America. Most experts and traditional polls...
The flow of misinformation and disinformation around the 2016 U.S. presidential election put the pro...