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2 datasets found
  1. W

    BuzzFeed-Webis Fake News Corpus 16

    • webis.de
    • paperswithcode.com
    • +1more
    1181813
    Updated 2018
  2. z

    BuzzFeed-Webis Fake News Corpus 2016

    • zenodo.org
    csv, txt, xsd, zip
    Updated Feb 20, 2018
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Janek Bevendorff; Johannes Kiesel; Benno Stein (2018). BuzzFeed-Webis Fake News Corpus 16 [Dataset]. http://doi.org/10.5281/zenodo.1181813

BuzzFeed-Webis Fake News Corpus 16

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2 scholarly articles cite this dataset (View in Google Scholar)
1181813Available download formats
Dataset updated
2018
Dataset provided by
The Web Technology & Information Systems Network
Bauhaus-Universität Weimar
Authors
Janek Bevendorff; Johannes Kiesel; Benno Stein
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The BuzzFeed-Webis Fake News Corpus 16 comprises the output of 9 publishers in a week close to the US elections. Among the selected publishers are 6 prolific hyperpartisan ones (three left-wing and three right-wing), and three mainstream publishers (see Table 1). All publishers earned Facebook’s blue checkmark, indicating authenticity and an elevated status within the network. For seven weekdays (September 19 to 23 and September 26 and 27), every post and linked news article of the 9 publishers was fact-checked by professional journalists at BuzzFeed. In total, 1,627 articles were checked, 826 mainstream, 256 left-wing and 545 right-wing. The imbalance between categories results from differing publication frequencies.

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