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ZENODO
Dataset . 2021
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY SA
Data sources: ZENODO
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 . 2021
License: CC BY SA
Data sources: Datacite
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South African Disinformation [Fake News] Website Data - 2020

Authors: Harm, de Wet; Marivate, Vukosi;

South African Disinformation [Fake News] Website Data - 2020

Abstract

See publication: Is it Fake? News Disinformation Detection on South African News Websites We used, as sources, investigations by the news websites MyBroadband (https://mybroadband.co.za/forum/threads/list-of-known-fake-news-sites-in-south-africa-and-beyond.879854/) and News24 (https://exposed.news24.com/the-website-blacklist/). These articles covered investigations into disinformation websites in South Africa in 2018. They compiled lists of websites that were suspected to be disinformation. During the period from those articles to present, a number of the websites have become inaccessible or offline. We attempted to use the internet archives WayBack Machine we could only get partial snapshots and error messages. A web-scraper only worked for one of the sources although manual editing was still required to clean the text from Javascript code and some paragraph duplicates. On most of the other websites, a web-scraper did not work well as there were too many advertisements and broken parts of pages. Because of all these problems, most of the articles were manually copied and pasted and cleaned in flat files. In some cases, the text of articles could not be copied and was not made part of the South African disinformation corpus. Citing the dataset @inproceedings{de2021fake, title={Is it Fake? News Disinformation Detection on South African News Websites}, author={de Wet, Harm and Marivate, Vukosi}, booktitle={2021 IEEE AFRICON}, pages={1--6}, year={2021}, organization={IEEE} }

Related Organizations
Keywords

South Africa, Fake News, Misinformation, Disinformation

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selected citations
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This is an alternative to the "Influence" indicator, which also 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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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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