DIGIRES COVID-19 ML Dataset v.1

  Authors

Amilevičius, Darius ; Utka, Andrius ; Meidutė, Aistė ; Ruzaitė, Jūratė

 Project URL

https://digires.lt/

 Date issued

2023-02-20

 Type

toolService

 Language(s)

Lithuanian

 Description

DIGIRES COVID-19 ML dataset v.1 is a tab-separated (.tsv) file prepared for training machine learning algorithms. The training dataset was compiled from various internet public Lithuanian media sources. It contains 351 records and has the following attributes: "Title": the title of a news article "Text": the text of the article "Label": a label that marks the article as 1: unreliable; 0: reliable 1) "unrealiable" marks articles, which were identified by professional fact checkers as fake news; 2) "reliable" marks trustworthy articles. Classes Labels Word tokens Reliable: 175 67902 Unreliable: 176 118747 Total 351 186649

 Publisher

Vytautas Magnus University

 Acknowledgement

European Commission

Project code: LC-01682259

Project name: DIGIRES - Supporting Collaborative Partnerships for Digital Resilience and Capacity Building in the Times of Disinfodemic/COVID-19

 Subject(s)

fake news detection machine learning

 Collection(s)

CLARIN-LT

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