Massive-Parallel Game of Politicians

Publication typeBook Chapter
Publication date2025-01-30
scimago Q4
SJR0.182
CiteScore1.1
Impact factor
ISSN18650929, 18650937
Abstract
Mould or fungal propagation can serve as a universal model for a massive-parallel game of many players, moving concurrently. Based on this model, a game of politicians is introduced to occupy as many political keywords as possible in the media. If a politician begins to be mentioned every time with some word or group of words, then this means that he or she has occupied this word or group of words. In the election campaign, the winner is the politician who has occupied the most words. The study was carried out on the example of Polish politicians. In addition, a space for keywords related to mentions in the messages of 780 politicians of the Sejm and Senate of the last two terms of office was created. Thus, the reflection game of politicians for keywords was implemented. In this game, you can explain the role of politicians in their activities for their party or for themselves. The period of the game is for three years. This game shows the dynamics of political discourse in Poland during this period. In different media, this game is realized in different ways. For example, party-related keywords in the media correlate differently with party program texts. This means that journalists from various portals influence this game of politicians. Data modeling as a game of politicians for keywords makes it possible to identify hidden players and their degree of reflexivity.
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GOST Copy
Schumann A. et al. Massive-Parallel Game of Politicians // Communications in Computer and Information Science. 2025. pp. 323-334.
GOST all authors (up to 50) Copy
Schumann A., Pancerz K. Massive-Parallel Game of Politicians // Communications in Computer and Information Science. 2025. pp. 323-334.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-981-96-0055-7_27
UR - https://link.springer.com/10.1007/978-981-96-0055-7_27
TI - Massive-Parallel Game of Politicians
T2 - Communications in Computer and Information Science
AU - Schumann, Andrew
AU - Pancerz, Krzysztof
PY - 2025
DA - 2025/01/30
PB - Springer Nature
SP - 323-334
SN - 1865-0929
SN - 1865-0937
ER -
BibTex
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BibTex (up to 50 authors) Copy
@incollection{2025_Schumann,
author = {Andrew Schumann and Krzysztof Pancerz},
title = {Massive-Parallel Game of Politicians},
publisher = {Springer Nature},
year = {2025},
pages = {323--334},
month = {jan}
}