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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper

Authors: España-Bonet, Cristina;

Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper

Abstract

Corpora used in the publication: Cristina España-Bonet. 2023. Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper. In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore. Pages 11757–11777. Association for Computational Linguistics. Three corpora are included: Newspaper articles extracted from the OSCAR corpus in English, German, Spanish and Catalan automatically annotated for political stance (left vs right) and topic Newspaper-like article generations by different versions of ChatGPT for 101 topics in the 4 languages Newspaper-like article generations by Bard for 101 topics in the 4 languages See the README file and the original article for further details.

Keywords

political stance, ChatGPT, classification, large language model, Bard

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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.
BIP!Popularity provided by BIP!
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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