Análisis computacional de las características ortotipográficas y paralingüísticas de los tweets periodísticos

  1. Esteban Vázquez-Cano 1
  2. Javier Fombona 2
  3. César Bernal 3
  1. 1 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

  2. 2 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  3. 3 Universidad de Almería
    info

    Universidad de Almería

    Almería, España

    ROR https://ror.org/003d3xx08

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Journal:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Year of publication: 2016

Issue Title: Datos

Volume: 25

Issue: 4

Pages: 588-595

Type: Article

DOI: 10.3145/EPI.2016.JUL.08 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: El profesional de la información

Abstract

The main orthotypographic and paralinguistic characteristics of journalistic tweets using a sample of ten of the most media active Spanish journalists in the network of microblogging Twitter are analyzed. Through a research methodology based on the computer-mediated discourse of computational linguistics and statistical processing of digital messages, 178 journalistic tweets are analyzed using computational linguistics techniques (tokenization and lemmatization) and statistical processing of digital messages (inferential statistics). The results show that the orthotypographic elements with greater representation are the quotes and suspension points in tweets of average length not exceeding 100 characters. Also, the most significant paralinguistic elements are the hashtags, ats, and images in tweets with a low density of words (9.07%).

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