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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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The formulation and preliminary study of the model of the hype dissemination of information in societyстатья
- Авторы: Mikhailov A.P., Petrov A.P., Pronchev G.B., Proncheva O.G.
- Журнал: Computational mathematics and information technologies
- Том: 2
- Номер: 2
- Год издания: 2019
- Первая страница: 35
- Последняя страница: 42
- DOI: 10.23947/2587-8999-2019-2-2-35-42
- Аннотация: The paper applies the model of decrease of public attention to a one-time political event to more empirical cases, namely the Presidential election in France in 2017 and the inauguration of Emmanuel Macron as the President of France. The number of search requests about a political event is taken as a measure of public attention to it. The theoretical model stems from a neurological scheme of decision-making. Individuals are supposed to be differentially pre-disposed to making web search requests about a certain political event such as referendum, election or coup d’etat. This attitude of making such requests reflects their general interest towards political matters and/or towards a given country etc. Media coverage during the event and the run-up to it enhances public attention to the event. This add-on is called a dynamical component of attention. The basic hypothesis is that an individual makes a web search request about a political event, if the sum of their attitude and dynamical component exceeds a certain threshold value. Over time, the dynamical component decreases and so does the daily number of requests. Empirical data have been obtained using Google Trends online service. It is shown that the model matches empirical data and public attention to a past one-time event decreases as a double-exponential function of time.
- Добавил в систему: Прончев Геннадий Борисович
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | Текст статьи | 2019_CMIT_V_2_N_2_P_35_42_Mikhailov_Petrov_Pronchev_Pronche… | 671,8 КБ | 8 ноября 2023 [pronchev] |