Argumentation schemes, fallacies, and evidence in politicians argumentative tweets

Bibliographic Details
Main Author: Macagno, Fabrizio
Publication Date: 2022
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/143515
Summary: PTDC/FER‐FIL/28278/2017 UIDB/00183/2020 UIDP/00183/2020
id RCAP_3d32fc471034a7be3d6c0468e749765b
oai_identifier_str oai:run.unl.pt:10362/143515
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Argumentation schemes, fallacies, and evidence in politicians argumentative tweetsA coded datasetArgument evaluationArgument miningArgumentationDiscourse analysisGold standard corpusPragmaticsPresuppositionsGeneralPTDC/FER‐FIL/28278/2017 UIDB/00183/2020 UIDP/00183/2020This 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.Instituto de Filosofia da NOVA (IFILNOVA)Departamento de Filosofia (DEF)RUNMacagno, Fabrizio2022-09-05T22:34:59Z2022-102022-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13application/pdfhttp://hdl.handle.net/10362/143515eng2352-3409PURE: 46373291https://doi.org/10.1016/j.dib.2022.108501info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:04:52Zoai:run.unl.pt:10362/143515Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:35:34.522702Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
A coded dataset
title Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
spellingShingle Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
Macagno, Fabrizio
Argument evaluation
Argument mining
Argumentation
Discourse analysis
Gold standard corpus
Pragmatics
Presuppositions
General
title_short Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
title_full Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
title_fullStr Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
title_full_unstemmed Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
title_sort Argumentation schemes, fallacies, and evidence in politicians argumentative tweets
author Macagno, Fabrizio
author_facet Macagno, Fabrizio
author_role author
dc.contributor.none.fl_str_mv Instituto de Filosofia da NOVA (IFILNOVA)
Departamento de Filosofia (DEF)
RUN
dc.contributor.author.fl_str_mv Macagno, Fabrizio
dc.subject.por.fl_str_mv Argument evaluation
Argument mining
Argumentation
Discourse analysis
Gold standard corpus
Pragmatics
Presuppositions
General
topic Argument evaluation
Argument mining
Argumentation
Discourse analysis
Gold standard corpus
Pragmatics
Presuppositions
General
description PTDC/FER‐FIL/28278/2017 UIDB/00183/2020 UIDP/00183/2020
publishDate 2022
dc.date.none.fl_str_mv 2022-09-05T22:34:59Z
2022-10
2022-10-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/143515
url http://hdl.handle.net/10362/143515
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2352-3409
PURE: 46373291
https://doi.org/10.1016/j.dib.2022.108501
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 13
application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596817423466496