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			<journal-title xml:lang="ru">Вопросы природопользования</journal-title><trans-title-group xml:lang="en"><trans-title>Environmental Management Issues</trans-title></trans-title-group>
</journal-title-group>			<issn pub-type="epub">3034-3461</issn>			<publisher><publisher-name>Индивидуальный предприниматель Подколзин М.М.</publisher-name></publisher>
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			<article-id pub-id-type="doi">10.25726/c4434-3683-0442-l</article-id><article-id pub-id-type="publisher-id">58</article-id>
			<article-categories><subj-group subj-group-type="heading" xml:lang="en"><subject>SOCIETY AND DEVELOPMENT</subject></subj-group><subj-group subj-group-type="heading" xml:lang="ru"><subject>ОБЩЕСТВО И РАЗВИТИЕ</subject></subj-group></article-categories>
			<title-group><article-title xml:lang="ru">ChatGPT и социальные сети: исследуем будущее новых медиа-коммуникаций</article-title><trans-title-group xml:lang="en"><trans-title>ChatGPT and social media: exploring the future of new media communication</trans-title></trans-title-group></title-group>
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						<name name-style="western" specific-use="primary" xml:lang="ru">
							<surname>Ван</surname>
							<given-names>Цзымин</given-names>
						</name>
						<name name-style="western" xml:lang="en">
							<surname>Wang</surname>
							<given-names>Ziming</given-names>
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					<email>1042248002@pfur.ru</email>
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				<aff xml:lang="ru"><institution content-type="orgname">Российский университет дружбы народов</institution></aff>
				<aff xml:lang="en"><institution content-type="orgname">Peoples' Friendship University of Russia</institution></aff>
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			<pub-date date-type="collection"><year>2024</year></pub-date><pub-date date-type="pub" publication-format="epub"><day>15</day><month>04</month><year>2024</year></pub-date>
			<volume seq="1">33</volume>
			<issue>44</issue>
				<issue-id>5</issue-id><issue-title xml:lang="ru">Вопросы природопользования</issue-title><issue-title xml:lang="en">Environmental management issues</issue-title><fpage>96</fpage>
				<lpage>111</lpage>
			<history>
				<date date-type="received" iso-8601-date="2024-11-22">
					<day>22</day>
					<month>11</month>
					<year>2024</year>
				</date>
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				<copyright-statement>Copyright (c) 2024 Вопросы природопользования</copyright-statement>
				<copyright-year>2024</copyright-year>
				<copyright-holder>Вопросы природопользования</copyright-holder>
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					<license-p>Это произведение доступно по лицензии Creative Commons «Attribution-NonCommercial-NoDerivatives» («Атрибуция — Некоммерческое использование — Без производных произведений») 4.0 Всемирная.</license-p>
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					<license-p>Метаданные настоящей записи распространяются на условиях Creative Commons CC0 1.0 (передача в общественное достояние).</license-p>
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			<abstract><p>В этой статье рассматривается будущее новых медиа-коммуникаций с интеграцией ChatGPT и социальных сетей. В исследовании рассматривается текущее состояние интеграции ChatGPT в платформы социальных сетей, исследуются его преимущества и ограничения в области коммуникации, исследуется его потенциальное влияние на создание контента, вовлечение пользователей и распространение информации, а также рассматриваются этические соображения и проблемы. Исследование способствует пониманию новых медиа-коммуникаций в эпоху интеграции чатов и социальных сетей, исследует преобразующий потенциал и возможности, а также рассматривает этические соображения и проблемы, связанные с использованием языковых моделей, управляемых искусственным интеллектом. В свете стремительного развития цифровых технологий чаты и социальные сети играют ключевую роль в медийных коммуникациях, и их влияние на общественное и профессиональное взаимодействие требует тщательного изучения. Данная статья посвящена изучению будущих тенденций в развитии медиа-коммуникаций с акцентом на чаты и социальные сети как основные платформы для взаимодействия с пользователями. Были проведены качественные и количественные исследования использования чатов и социальных сетей с помощью социологических опросов и анализа данных об активности пользователей. Были использованы специализированные методы текстового и сетевого анализа, позволяющие выявить ключевые закономерности в поведении пользователей на цифровых платформах, включая Facebook, Instagram и мессенджеры (WhatsApp, Telegram и др.). Для обработки больших объемов информации использовались современные методы анализа больших данных. Результаты исследования показали, что большинство пользователей предпочитают использовать чаты и социальные сети для быстрого обмена информацией и поддержания личных и профессиональных связей. В то же время новые формы взаимодействия, такие как чат-боты и автоматизация коммуникаций, играют особую роль, открывая перспективы для дальнейшего развития медиаплатформ. Дискуссия сосредоточена на анализе выявленных тенденций, таких как возрастающая роль искусственного интеллекта и автоматизации в чатах, перераспределение медиапотоков и формирование новых моделей взаимодействия. Исследование показывает, что социальные сети и чаты становятся ключевыми платформами для будущих медиа-коммуникаций, что требует новых подходов к управлению и регулированию взаимодействий, а также обеспечению защиты данных.</p></abstract><trans-abstract xml:lang="en"><p>This article explores the future of new media communications with the integration of ChatGPT and social networks. The study examines the current state of ChatGPT's integration into social media platforms, explores its advantages and limitations in communication, investigates its potential impact on content creation, user engagement, and information dissemination, and addresses ethical considerations and challenges. The research contributes to the understanding of new media communications in the era of chat and social network integration, explores transformative potential and opportunities, and considers ethical considerations and challenges related to the use of AI-driven language models. In light of the rapid development of digital technologies, chat and social networks play a key role in media communications, and their impact on public and professional interactions requires in-depth investigation. This paper focuses on examining future trends in the development of media communications, with an emphasis on chats and social networks as the primary platforms for user interaction. Qualitative and quantitative studies were conducted on the use of chat communications and social networks through sociological surveys and user activity data analysis. Specialized methods of text and network analysis were used, allowing the identification of key patterns in user behavior across digital platforms, including Facebook, Instagram, and messengers (WhatsApp, Telegram, etc.). Modern Big Data analysis methods were employed to process large volumes of information. The research results showed that the majority of users prefer to use chats and social networks for quick information exchange and maintaining personal and professional connections. At the same time, new forms of interaction, such as chatbots and communication automation, play a special role, opening up prospects for further development of media platforms. The discussion focuses on the analysis of identified trends, such as the increasing role of artificial intelligence and automation in chats, redistribution of media flows, and the formation of new interaction models. The study demonstrates that social media and chats are becoming key platforms for future media communications, requiring new approaches in managing and regulating interactions, as well as ensuring data protection.</p></trans-abstract><trans-abstract xml:lang="en"><p>This article explores the future of new media communications with the integration of ChatGPT and social networks. The study examines the current state of ChatGPT's integration into social media platforms, explores its advantages and limitations in communication, investigates its potential impact on content creation, user engagement, and information dissemination, and addresses ethical considerations and challenges. The research contributes to the understanding of new media communications in the era of chat and social network integration, explores transformative potential and opportunities, and considers ethical considerations and challenges related to the use of AI-driven language models. In light of the rapid development of digital technologies, chat and social networks play a key role in media communications, and their impact on public and professional interactions requires in-depth investigation. This paper focuses on examining future trends in the development of media communications, with an emphasis on chats and social networks as the primary platforms for user interaction. Qualitative and quantitative studies were conducted on the use of chat communications and social networks through sociological surveys and user activity data analysis. Specialized methods of text and network analysis were used, allowing the identification of key patterns in user behavior across digital platforms, including Facebook, Instagram, and messengers (WhatsApp, Telegram, etc.). Modern Big Data analysis methods were employed to process large volumes of information. The research results showed that the majority of users prefer to use chats and social networks for quick information exchange and maintaining personal and professional connections. At the same time, new forms of interaction, such as chatbots and communication automation, play a special role, opening up prospects for further development of media platforms. The discussion focuses on the analysis of identified trends, such as the increasing role of artificial intelligence and automation in chats, redistribution of media flows, and the formation of new interaction models. The study demonstrates that social media and chats are becoming key platforms for future media communications, requiring new approaches in managing and regulating interactions, as well as ensuring data protection.</p></trans-abstract>
			
			
			<kwd-group xml:lang="ru"><title>Ключевые слова</title><kwd>социальные сети</kwd><kwd>коммуникация</kwd><kwd>создание контента</kwd><kwd>этические соображения</kwd></kwd-group><kwd-group xml:lang="en"><title>Keywords</title><kwd>ChatGPT</kwd><kwd>social media</kwd><kwd>communication</kwd><kwd>content creation</kwd><kwd>ethical considerations</kwd></kwd-group><funding-group>
				<funding-statement xml:lang="ru">Исследование выполнено без внешнего финансирования.</funding-statement>
				<funding-statement xml:lang="en">The study was conducted without external funding.</funding-statement>
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