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Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset

This coded database presents a corpus of argumentative tweets published by four politicians (Matteo Salvini, Donald Trump, Jair Bolsonaro, and Joe Biden) within 6 months from their taking office, which corresponds to the official end of their election campaign. The coding is based on a threefold met...

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Detalles Bibliográficos
Autor principal: Macagno, Fabrizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389194/
https://www.ncbi.nlm.nih.gov/pubmed/35990918
http://dx.doi.org/10.1016/j.dib.2022.108501
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author Macagno, Fabrizio
author_facet Macagno, Fabrizio
author_sort Macagno, Fabrizio
collection PubMed
description This coded database presents a corpus of argumentative tweets published by four politicians (Matteo Salvini, Donald Trump, Jair Bolsonaro, and Joe Biden) within 6 months from their taking office, which corresponds to the official end of their election campaign. The coding is based on a threefold method of analysis based on the instruments of argumentation theory and pragmatics. First, the types of arguments are recognized and classified according to a systematic organization of the argumentation schemes developed in the literature. Second, arguments are evaluated considering the fallacies committed. Third, the uses and misuses of “emotive words” are assessed. Based on this theoretical framework, each tweet is thus attributed three categories of codes: 1) argument types (maximum two, corresponding to the most important ones); 2) fallacies (maximum two types of fallacies, plus a distinct indication of the lack of necessary evidence or false presupposition); and 3) emotive language (maximum three emotive words, plus the most important emotion expressed). A total of 2657 tweets are coded, providing a ground for comparative works and an instrument for training further coding of different corpora.
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spelling pubmed-93891942022-08-20 Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset Macagno, Fabrizio Data Brief Data Article This coded database presents a corpus of argumentative tweets published by four politicians (Matteo Salvini, Donald Trump, Jair Bolsonaro, and Joe Biden) within 6 months from their taking office, which corresponds to the official end of their election campaign. The coding is based on a threefold method of analysis based on the instruments of argumentation theory and pragmatics. First, the types of arguments are recognized and classified according to a systematic organization of the argumentation schemes developed in the literature. Second, arguments are evaluated considering the fallacies committed. Third, the uses and misuses of “emotive words” are assessed. Based on this theoretical framework, each tweet is thus attributed three categories of codes: 1) argument types (maximum two, corresponding to the most important ones); 2) fallacies (maximum two types of fallacies, plus a distinct indication of the lack of necessary evidence or false presupposition); and 3) emotive language (maximum three emotive words, plus the most important emotion expressed). A total of 2657 tweets are coded, providing a ground for comparative works and an instrument for training further coding of different corpora. Elsevier 2022-07-30 /pmc/articles/PMC9389194/ /pubmed/35990918 http://dx.doi.org/10.1016/j.dib.2022.108501 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Macagno, Fabrizio
Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
title Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
title_full Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
title_fullStr Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
title_full_unstemmed Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
title_short Argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—A coded dataset
title_sort argumentation schemes, fallacies, and evidence in politicians’ argumentative tweets—a coded dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389194/
https://www.ncbi.nlm.nih.gov/pubmed/35990918
http://dx.doi.org/10.1016/j.dib.2022.108501
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