Misinformation on Twitter During the Danish National Election: A Case Study

Leon Derczynski, Torben Oskar Albert-Lindqvist, Marius Venø Bendsen, Nanna Inie, Jens Egholm Pedersen, Viktor Due Pedersen

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Elections are a time when communication is important in democracies, including over social media. This paper describes a case study of applying NLP to determine the extent to which misinformation and external manipulation were present on Twitter during a national election. We use three methods to detect the spread of misinformation: analysing unusual spatial and temporal behaviours; detecting known false claims and using these to estimate the total prevalence; and detecting amplifiers through language use. We find that while present, detectable spread of misinformation on Twitter was remarkably low during the election period in Denmark.
OriginalsprogEngelsk
TitelProceedings of the conference on Truth and Trust Online
Publikationsdato4 okt. 2019
StatusUdgivet - 4 okt. 2019
BegivenhedTruth and Trust Online - London, Storbritannien
Varighed: 4 okt. 20195 okt. 2019
Konferencens nummer: 1
https://truthandtrustonline.com

Konference

KonferenceTruth and Trust Online
Nummer1
Land/OmrådeStorbritannien
ByLondon
Periode04/10/201905/10/2019
Internetadresse

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