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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
Claim

ПРЕДВЫБОРНЫХ КАМПАНИЯХ: ГЛОБАЛЬНЫЕ КЕЙСЫ

descriptionPublicationkeyboard_double_arrow_right Other literature type 19 Nov 2025Publisher:Zenodo

doi: 10.5281/zenodo.17652916

ПРЕДВЫБОРНЫХ КАМПАНИЯХ: ГЛОБАЛЬНЫЕ КЕЙСЫ

Abstract

Аннотация : Тезис посвящен использованию искусственного интеллекта (ИИ) для борьбы с информационными манипуляциями в предвыборных кампаниях на основе глобальных кейсов. Рассматриваются примеры США (2020, 2024), Индии (2019, 2024) и ЕС (2019, 2024), где ИИ применялся для выявления дезинформации, анализа ботов и предотвращения манипуляций, повышая прозрачность выборов. Исследование использует сравнительный анализ и обзор литературы. Выявлены преимущества ИИ (точность до 95%) и вызовы (этика, языковые барьеры). Для Узбекистана предложены рекомендации по адаптации ИИ, включая локализацию алгоритмов и развитие инфраструктуры. Тезис подчеркивает потенциал ИИ для демократизации выборов.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green