2 datasets found
  1. P

    BuzzFeed-Webis Fake News Corpus 2016 Dataset

    • paperswithcode.com
    • webis.de
    • +2more
    Updated May 8, 2018
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    Martin Potthast; Johannes Kiesel; Kevin Reinartz; Janek Bevendorff; Benno Stein (2018). BuzzFeed-Webis Fake News Corpus 2016 Dataset [Dataset]. https://paperswithcode.com/dataset/buzzfeed-webis-fake-news-corpus-2016
    Explore at:
    Dataset updated
    May 8, 2018
    Authors
    Martin Potthast; Johannes Kiesel; Kevin Reinartz; Janek Bevendorff; Benno Stein
    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.

  2. E

    BuzzFeed-Webis Fake News Corpus 2016

    • live.european-language-grid.eu
    • zenodo.org
    Updated Dec 31, 2017
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    (2017). BuzzFeed-Webis Fake News Corpus 2016 [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/944
    Explore at:
    Dataset updated
    Dec 31, 2017
    License

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

    Description

    The corpus 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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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Martin Potthast; Johannes Kiesel; Kevin Reinartz; Janek Bevendorff; Benno Stein (2018). BuzzFeed-Webis Fake News Corpus 2016 Dataset [Dataset]. https://paperswithcode.com/dataset/buzzfeed-webis-fake-news-corpus-2016

BuzzFeed-Webis Fake News Corpus 2016 Dataset

Explore at:
Dataset updated
May 8, 2018
Authors
Martin Potthast; Johannes Kiesel; Kevin Reinartz; Janek Bevendorff; Benno Stein
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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