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Philosophische Körper. Von digitalem Text zu greifbarem Material. ...
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Employing Argumentation Knowledge Graphs for Neural Argument Generation ...
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Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ...
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Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ...
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Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity ...
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Persuasiveness of News Editorials depending on Ideology and Personality ...
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Detecting Media Bias in News Articles using Gaussian Bias Distributions ...
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Style Analysis of Argumentative Texts by Mining Rhetorical Devices ...
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Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection
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Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection
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BuzzFeed-Webis Fake News Corpus 2016 ...
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Abstract:
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. ... : {"references": ["Martin Potthast, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, and Benno Stein. A Stylometric Inquiry into Hyperpartisan and Fake News. In 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), pages 231-240, July 2018. Association for Computational Linguistics."]} ...
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Keyword:
Fake News; Hyperpartisan News; News; News articles
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URL: https://zenodo.org/record/1181813 https://dx.doi.org/10.5281/zenodo.1181813
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