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Artificial Intelligence as a Driver of Strategic Communications in the Period of Deep Mediatization. / Быкова, Елена Владимировна; Гавра, Дмитрий Петрович; Байкова, Ирина Александровна.

2024. 49-51 Paper presented at 2024 IEEE Communication Strategies in Digital Society Seminar, Санкт-Петербург, Russian Federation.

Research output: Contribution to conferencePaperpeer-review

Harvard

Быкова, ЕВ, Гавра, ДП & Байкова, ИА 2024, 'Artificial Intelligence as a Driver of Strategic Communications in the Period of Deep Mediatization', Paper presented at 2024 IEEE Communication Strategies in Digital Society Seminar, Санкт-Петербург, Russian Federation, 10/04/24 - 12/04/24 pp. 49-51. https://doi.org/10.1109/comsds61892.2024.10502095

APA

Быкова, Е. В., Гавра, Д. П., & Байкова, И. А. (2024). Artificial Intelligence as a Driver of Strategic Communications in the Period of Deep Mediatization. 49-51. Paper presented at 2024 IEEE Communication Strategies in Digital Society Seminar, Санкт-Петербург, Russian Federation. https://doi.org/10.1109/comsds61892.2024.10502095

Vancouver

Быкова ЕВ, Гавра ДП, Байкова ИА. Artificial Intelligence as a Driver of Strategic Communications in the Period of Deep Mediatization. 2024. Paper presented at 2024 IEEE Communication Strategies in Digital Society Seminar, Санкт-Петербург, Russian Federation. https://doi.org/10.1109/comsds61892.2024.10502095

Author

BibTeX

@conference{bddb73caab3b47d6abe50c179ffb903d,
title = "Artificial Intelligence as a Driver of Strategic Communications in the Period of Deep Mediatization",
abstract = "The article is devoted to the transformation of the processes of deep mediatization of social relations in a ratified digital society, due to the intensive introduction of self-learning neural networks and, more broadly, generative artificial intelligence. The characteristic of the current stage of mediatization is given, and an overview of the relevant theoretical approaches is proposed. The influence of artificial intelligence technologies on mediatization processes is considered, positive and negative effects are identified, and the most significant risks are analyzed. Special attention is paid to such phenomena with negative potential as the deepening of the digital divide, manipulation of public opinion and its exploitation with the use of deep fakes, preservation of bubbles and echo chambers, algorithmic bias and cultural homogenization.",
keywords = "Artificial Intelligence, big data, deep mediatization, strategic communications",
author = "Быкова, {Елена Владимировна} and Гавра, {Дмитрий Петрович} and Байкова, {Ирина Александровна}",
year = "2024",
month = apr,
day = "10",
doi = "10.1109/comsds61892.2024.10502095",
language = "English",
pages = "49--51",
note = "2024 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2024 ; Conference date: 10-04-2024 Through 12-04-2024",
url = "https://ieee.spb.etu.ru/en/home/konferencii/2024/communication-strategies-in-digital-society-seminar-comsds",

}

RIS

TY - CONF

T1 - Artificial Intelligence as a Driver of Strategic Communications in the Period of Deep Mediatization

AU - Быкова, Елена Владимировна

AU - Гавра, Дмитрий Петрович

AU - Байкова, Ирина Александровна

PY - 2024/4/10

Y1 - 2024/4/10

N2 - The article is devoted to the transformation of the processes of deep mediatization of social relations in a ratified digital society, due to the intensive introduction of self-learning neural networks and, more broadly, generative artificial intelligence. The characteristic of the current stage of mediatization is given, and an overview of the relevant theoretical approaches is proposed. The influence of artificial intelligence technologies on mediatization processes is considered, positive and negative effects are identified, and the most significant risks are analyzed. Special attention is paid to such phenomena with negative potential as the deepening of the digital divide, manipulation of public opinion and its exploitation with the use of deep fakes, preservation of bubbles and echo chambers, algorithmic bias and cultural homogenization.

AB - The article is devoted to the transformation of the processes of deep mediatization of social relations in a ratified digital society, due to the intensive introduction of self-learning neural networks and, more broadly, generative artificial intelligence. The characteristic of the current stage of mediatization is given, and an overview of the relevant theoretical approaches is proposed. The influence of artificial intelligence technologies on mediatization processes is considered, positive and negative effects are identified, and the most significant risks are analyzed. Special attention is paid to such phenomena with negative potential as the deepening of the digital divide, manipulation of public opinion and its exploitation with the use of deep fakes, preservation of bubbles and echo chambers, algorithmic bias and cultural homogenization.

KW - Artificial Intelligence

KW - big data

KW - deep mediatization

KW - strategic communications

UR - https://www.mendeley.com/catalogue/ae1aa74a-54df-30b2-b209-12ef6d341da9/

U2 - 10.1109/comsds61892.2024.10502095

DO - 10.1109/comsds61892.2024.10502095

M3 - Paper

SP - 49

EP - 51

T2 - 2024 IEEE Communication Strategies in Digital Society Seminar

Y2 - 10 April 2024 through 12 April 2024

ER -

ID: 118973484