The parliamentary discourse is the important component of the socio-political basis of modern society. The study of its characteristics can explain many social dynamics processes, for example, the activity and apathy of society at elections, as well as the features of civil society. Qualitative studies, based on sociological methodology and discourse analysis, can benefit greatly from automated topic mining provided by topic models such as latent Dirichlet allocation (LDA). In this paper we present the results of analysis the speeches of deputies of the State Duma of the Russian Federation (seven parliamentary sessions). The aim of our work was to find relation between the behavior of parties during parliamentary sessions and the public skepticism about the idea of a multiparty system as a basis of democracy.
Original languageEnglish
Title of host publicationDigital Transformation and Global Society
Subtitle of host publication6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers
PublisherSpringer Nature
Pages403–416
ISBN (Electronic)9783030937157
ISBN (Print)9783030937140
DOIs
StatePublished - 2022
Event6th International Conference on Digital Transformation and Global Society, DTGS 2021 - Saint Petesburg, Virtual, Online, Russian Federation
Duration: 23 Jun 202125 Jun 2021
Conference number: 6
http://dtgs-conference.org
http://dtgs-conference.org/

Publication series

NameCommunications in Computer and Information Science
Volume1503

Conference

Conference6th International Conference on Digital Transformation and Global Society, DTGS 2021
Abbreviated titleDTGS 2021
Country/TerritoryRussian Federation
CityVirtual, Online
Period23/06/2125/06/21
Internet address

    Research areas

  • Multiparty political system, Parliamentary discourse, open data, Cauterization, topic modelling

    Scopus subject areas

  • Computer Science(all)

ID: 103630845