Published April 3, 2024 | Version v1
Dataset Open

Linguistic features of Twitter rumor propagation trees on the CLNews19-20 dataset

Authors/Creators

  • 1. ROR icon Valparaiso University
  • 2. ROR icon Viña del Mar University
  • 3. ROR icon Pontificia Universidad Católica de Valparaíso
  • 4. ROR icon Pontificia Universidad Católica de Chile

Description

Linguistic features applied to 140 Twitter rumor propagation trees (53 of type 1: false rumors, and 87 of type 2: true rumors) about Chilean topics collected during the Chilean social outbreak (2019-2020). These rumor propagation trees come from the CLNews19-20 dataset (DOI 10.5281/zenodo.5851204). There are 38 different linguistics features applied:

  • number of paragraphs
  • total number of sentences
  • standard deviation of sentences
  • mean words
  • maximum number of words
  • mean characters
  • maximum number of characters
  • mean characters without spaces
  • maximum number of characters without spaces
  • adjective idf
  • minimum number of adpositions
  • maximum number of adpositions
  • mean adpositions
  • median adpositions
  • maximum number of auxiliaries
  • total number of auxiliaries
  • mean auxiliaries
  • median auxiliaries
  • auxiliary idf
  • auxiliary tfidf
  • standard deviation of numerals
  • proper noun idf
  • minimum number of symbols
  • maximum number of symbols
  • total number of symbols
  • mean symbols
  • median symbols
  • symbol idf
  • symbol tfidf
  • number of paragraphs
  • MDT conditionals
  • MDT counterarguments
  • MDT Connectors Opinion Justifiers
  • MDT Connectors Opinion Generalizers
  • AS VeryPositive Affin
  • AS Negative Nrc
  • AS Angry Nrc
  • AS Fear Nrc

Files

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Additional details

Related works

Requires
Dataset: 10.5281/zenodo.5851204 (DOI)

Funding

Agencia Nacional de Investigación y Desarrollo
Decimoquinto Concurso Fondo de estudios sobre el pluralismo en el sistema informativo nacional, ANID PLU230017