Algorithm-driven news personalization: how recommendation systems shape the news agenda
Автор: M.V. Zorina, A.V. Maracheva
Журнал: Международный журнал гуманитарных и естественных наук @intjournal
Рубрика: Филологические науки
Статья в выпуске: 8 (107), 2025 года.
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One of the key features of modern content consumption is the personalization of news. Thanks to artificial intelligence and modern algorithms, each user sees a certain feed and agenda according to his or her interests and preferences. The authors of this paper analyzed how algorithmic personalization of news occurs, how it affects the work of the media and how it affects the audience. A forecast of how this phenomenon will affect journalism of the future was made.
Media, mass media, journalism, personalization, artificial intelligence, algorithmic personalization, news, content consumption
Короткий адрес: https://sciup.org/170210888
IDR: 170210888 | DOI: 10.24412/2500-1000-2025-8-258-262