Unravelling the basic concepts and intents of misbehavior in post-truth society

Andrea Hrčková, Ivan Srba, Róbert Móro, Radoslav Blaho, Jakub Šimko, Pavol Návrat, Mária Bieliková

Resumen


Objective: To explore the definitions and connections between the terms misinformation, disinformation, fake news, rumors, hoaxes, propaganda and related forms of misbehavior in the online environment. Another objective is to infer the intent of the authors, where relevant.
Design/Methodology/Approach: A conceptual analysis of three hundred fifty articles or monographies from all types of disciplines with a priority of the articles focused on terminological analysis was being utilized. A conceptual map of the terminology that is relevant to the post-truth era was created. In the case of the lack of agreement, the etymology of the terms, utilizing dictionaries, terminological databases and encyclopedias, was favored.
Results/Discussion: The approach made possible to delimit the borders between the core terms of post-truth society and to classify them according to the intents of the authors: power (influence), money, fun, sexual harassment, hate/discord, ignorance, passion and socialization. These features were identified to be able to differentiate the concepts: falsity (misleadingness, deceptiveness, lack of verification), accuracy, completeness, currency, medium, intent and analyzable unit. The conceptual map, summarizing and visualizing
our findings is attached in the article.
Conclusions: We argued that disinformation and misinformation are different terms with different authors and intents in the online environment. Likewise, fake news was delimitated as species of disinformation, which is limited by the medium and financial intent. The intent of hoaxers is rather the amusement of the authors or to spread discord between different groups of society. The intent and analyzable units as statement, claim, article, message, event, story and narrative that were identified in the literature, are crucial for the understanding and communication between social (human) scientists and computer scientists in order to better detect and mitigate various types of false information.

Originality/Value: The study provides a theoretical background for detecting, analyzing and mitigating false information and misbehavior.


Palabras clave


Post-truth; Misinformation; Disinformation; Fake news; Hoax; Rumor; Propaganda; Misbehavior; Conspiracy Theory

Texto completo:

PDF (English)

Enlaces refback

  • No hay ningún enlace refback.


Licencia Creative Commons
Este trabajo está licenciado bajo una Licencia Internacional Creative Commons 4.0 Atribución-NoComercial-CompartirIgual .

 Revista indizada en: Web of Science (Emerging Sources Citation Index), DIALNET, EBSCO (Academic Search Complete, 
Academic Search Premier, Academic Search Ultimate, Fuente Académica Plus), PROQUEST (Library and Information Science
Abstracts, Library Science), REDIB, CLASE, BIBLAT, INFOBILA, Ulrichs Web, Latindex, DOAJ, Index Copernicus, JournalsTOC,
ERIH Plus, E-LIS, MIAR, e-Libros, BASE,
Google Scholar, y otros.


                           Redes Sociales
 
              
  
Indicadores de impacto según Google Scholar:
Índice h: 8; Índice i10: 3
Revista certificada por el CITMA


           Revista. Bibliotecas. Anales de investigación by Biblioteca Nacional de Cuba José Martí is licensed under aCreative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional License.  

Creado a partir de la obra en anales.bnjm.cu

 ISSN: 0006-176X, EISSN: 1683-8947   
                               Licencia de Creative Commons