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ZENODO
Dataset . 2017
License: CC BY NC SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY NC SA
Data sources: Datacite
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[Do Not Use] Fakenews On 2016 Us Elections Viral Tweets (One Month - November 2016)

Research datakeyboard_double_arrow_right Dataset 26 Oct 2017 English Publisher:Zenodo
Authors: Amador Diaz Lopez, Julio; Oehmichen, Axel; Molina-Solana, Miguel;

doi: 10.5281/zenodo.1037449 , 10.5281/zenodo.1037448

[Do Not Use] Fakenews On 2016 Us Elections Viral Tweets (One Month - November 2016)

Abstract

Collection of tweets related to the 2016 US election that went viral during the election day and until March 2017. Viral tweets are those that achieved the 1000-retweet threshold during the collection period. We queried Twitter's streaming API using the hashtags #MyVote2016, #ElectionDay, #electionnight, and the user handles @realDonaldTrump and @HillaryClinton. Tweets have been labelled as containing fake news or not by two sets of people. A fake news is one the following: Serious fabrication Large-scale hoaxes Jokes taken at face value Slanted reporting of real facts Stories where the 'truth' is contentious

Dataset with errors. Please do not use.

Related Organizations
Keywords

viral tweets, US elections, Hillary Clinton, November 2016, Donald Trump, fakenews

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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