Computational analysis of the orthotypographic and paralinguistic characteristics of journalistic tweets

Authors

  • Esteban Vázquez-Cano El profesional de la información
  • Javier Fombona
  • César Bernal

DOI:

https://doi.org/10.3145/epi.2016.jul.08

Keywords:

Digital journalism, Twitter, Orthotypography, Paralinguistics, Computational linguistics, Audiovisual communication, Digital language

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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Published

2016-07-29

How to Cite

Vázquez-Cano, E., Fombona, J., & Bernal, C. (2016). Computational analysis of the orthotypographic and paralinguistic characteristics of journalistic tweets. Profesional De La información, 25(4), 588–598. https://doi.org/10.3145/epi.2016.jul.08

Issue

Vol. 25 No. 4 (2016): Datos

Section

Research articles

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